{"id":885,"date":"2025-11-19T21:16:07","date_gmt":"2025-11-19T21:16:07","guid":{"rendered":"https:\/\/suprmind.ai\/hub\/?page_id=885"},"modified":"2026-08-23T06:20:09","modified_gmt":"2026-08-23T06:20:09","slug":"home-2","status":"publish","type":"page","link":"https:\/\/suprmind.ai\/hub\/","title":{"rendered":"Hub"},"content":{"rendered":"<div class=\"suprmind-pricing-page\">\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 1: HERO (split layout: copy left, chat-demo right) -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <div class=\"pricing-hero pricing-hero--split\" style=\"margin-top: 60px;\">\n        <div class=\"pricing-hero__content\">\n            <span class=\"pricing-label\" style=\"font-size:19px;\">AI Decision Making Software for Professionals<\/span>\n            <h1> Multi Model AI Decision Making Consensus Platform That Runs Your Question Through 5 Frontier Models <\/h1>\n\n            <p class=\"subtitle\">\nSuprmind is an AI decision making platform that runs your question through five frontier models \u2014 Claude, GPT, Gemini, Grok, and Perplexity \u2014 in the same conversation. Each model reads what came before it and answers with the whole thread in front of it.<\/p>\n\n            <p class=\"subtitle\" style=\"margin-top: 15px;\">\n                Agreement across five independently trained models is a confidence signal. Disagreement is a map of what still needs work. You get both, on the record, in the same thread. That is <strong>decision intelligence<\/strong> instead of one model&#8217;s best guess.\n            <\/p>\n\n            <div class=\"hero-cta-group\" style=\"margin-top: 40px;\">\n                <a href=\"https:\/\/suprmind.ai\/signup\/spark\" class=\"btn-primary\">Start Your Free 7-Day No Card Trial<\/a>\n                <a href=\"\/hub\/pricing\/\" class=\"btn-secondary\">See Pricing<\/a> <br>\n            <\/div>\n        <\/div>\n\n        \n        <div class=\"pricing-hero__demo\">\n            <div class=\"sm-chat-demo\" data-sm-chat-demo>\n                <div class=\"sm-chat-demo__topbar\">\n                    <div class=\"sm-chat-demo__dots\">\n                        <span><\/span><span><\/span><span><\/span>\n                    <\/div>\n                    <span class=\"sm-chat-demo__title\">Live Demo \u00b7 Sequential mode<\/span>\n                    <span class=\"sm-chat-demo__active\">5 models active<\/span>\n                <\/div>\n\n                <div class=\"sm-chat-demo__body\" data-sm-chat-body>\n                    <!-- User prompt -->\n                    <div class=\"sm-chat-demo__userrow\">\n                        <div class=\"sm-chat-demo__userbubble\">\n                            <span data-sm-chat-prompt><\/span><span class=\"sm-chat-demo__cursor\" data-sm-chat-cursor><\/span>\n                        <\/div>\n                    <\/div>\n\n                    <!-- Provider bubbles -->\n                    <div class=\"sm-chat-demo__bubble\" data-sm-chat-bubble=\"0\">\n                        <div class=\"sm-chat-demo__avatar\" style=\"border:1px solid #10A37F55; background:#10A37F10;\">\n                            <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#10A37F\" aria-hidden=\"true\"><path d=\"M22.282 9.821a5.985 5.985 0 0 0-.516-4.91 6.046 6.046 0 0 0-6.51-2.9A6.065 6.065 0 0 0 4.981 4.18a5.985 5.985 0 0 0-3.998 2.9 6.046 6.046 0 0 0 .743 7.097 5.98 5.98 0 0 0 .51 4.911 6.051 6.051 0 0 0 6.515 2.9A5.985 5.985 0 0 0 13.26 24a6.056 6.056 0 0 0 5.772-4.206 5.99 5.99 0 0 0 3.997-2.9 6.056 6.056 0 0 0-.747-7.073zM13.26 22.43a4.476 4.476 0 0 1-2.876-1.04l.141-.081 4.779-2.758a.795.795 0 0 0 .392-.681v-6.737l2.02 1.168a.071.071 0 0 1 .038.052v5.583a4.504 4.504 0 0 1-4.494 4.494zM3.6 18.304a4.47 4.47 0 0 1-.535-3.014l.142.085 4.783 2.759a.771.771 0 0 0 .78 0l5.843-3.369v2.332a.08.08 0 0 1-.033.062L9.74 19.95a4.5 4.5 0 0 1-6.14-1.646zM2.34 7.896a4.485 4.485 0 0 1 2.366-1.973V11.6a.766.766 0 0 0 .388.676l5.815 3.355-2.02 1.168a.076.076 0 0 1-.071 0l-4.83-2.786A4.504 4.504 0 0 1 2.34 7.872zm16.597 3.855l-5.833-3.387L15.119 7.2a.076.076 0 0 1 .071 0l4.83 2.791a4.494 4.494 0 0 1-.676 8.105v-5.678a.79.79 0 0 0-.407-.667zm2.01-3.023l-.141-.085-4.774-2.782a.776.776 0 0 0-.785 0L9.409 9.23V6.897a.066.066 0 0 1 .028-.061l4.83-2.787a4.5 4.5 0 0 1 6.68 4.66zm-12.64 4.135l-2.02-1.164a.08.08 0 0 1-.038-.057V6.075a4.5 4.5 0 0 1 7.375-3.453l-.142.08L8.704 5.46a.795.795 0 0 0-.393.681zm1.097-2.365l2.602-1.5 2.607 1.5v2.999l-2.597 1.5-2.607-1.5Z\"\/><\/svg>\n                        <\/div>\n                        <div class=\"sm-chat-demo__bubblebody\">\n                            <div class=\"sm-chat-demo__bubblehead\">\n                                <span class=\"sm-chat-demo__provider\">ChatGPT<\/span>\n                                <span class=\"sm-chat-demo__verdict-tag\" style=\"border-color:#10b98150; color:#10b981;\">leans yes<\/span>\n                            <\/div>\n                            <div class=\"sm-chat-demo__bubbletext\">Surface read says yes. TAM expansion alone justifies it.<\/div>\n                        <\/div>\n                    <\/div>\n\n                    <div class=\"sm-chat-demo__bubble\" data-sm-chat-bubble=\"1\">\n                        <div class=\"sm-chat-demo__avatar\" style=\"border:1px solid #D9775755; background:#D9775710;\">\n                            <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#D97757\" aria-hidden=\"true\"><path d=\"M17.3041 3.541h-3.6718l6.696 16.918H24Zm-10.6082 0L0 20.459h3.7442l1.3693-3.5527h7.0052l1.3693 3.5528h3.7442L10.5363 3.5409Zm-.3712 10.2232 2.2914-5.9456 2.2914 5.9456Z\"\/><\/svg>\n                        <\/div>\n                        <div class=\"sm-chat-demo__bubblebody\">\n                            <div class=\"sm-chat-demo__bubblehead\">\n                                <span class=\"sm-chat-demo__provider\">Claude<\/span>\n                                <span class=\"sm-chat-demo__verdict-tag\" style=\"border-color:#ef444450; color:#ef4444;\">flag<\/span>\n                            <\/div>\n                            <div class=\"sm-chat-demo__bubbletext\">38% NRR is below the 110%+ benchmark for category leaders. That number contradicts the thesis.<\/div>\n                        <\/div>\n                    <\/div>\n\n                    <div class=\"sm-chat-demo__bubble\" data-sm-chat-bubble=\"2\">\n                        <div class=\"sm-chat-demo__avatar\" style=\"border:1px solid #22D3EE55; background:#22D3EE10;\">\n                            <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#22D3EE\" aria-hidden=\"true\"><path d=\"M22.3977 7.0896h-2.3106V.0676l-7.5094 6.3542V.0676L4.8011 7.0896H1.6021v9.7732h3.1991v7.0696l7.7776-6.6065v6.6065l7.5094-6.3542v6.3542H22.3978zM22.3977 7.0896H12.578v7.5022zM11.7997 22.7223v-7.6118L4.802 16.821z\"\/><\/svg>\n                        <\/div>\n                        <div class=\"sm-chat-demo__bubblebody\">\n                            <div class=\"sm-chat-demo__bubblehead\">\n                                <span class=\"sm-chat-demo__provider\">Perplexity<\/span>\n                                <span class=\"sm-chat-demo__verdict-tag\" style=\"border-color:#22d3ee50; color:#22d3ee;\">evidence<\/span>\n                            <\/div>\n                            <div class=\"sm-chat-demo__bubbletext\">Two recent SaaS acquisitions at similar NRR underperformed by 60% over 18 months (Bessemer State of Cloud, 2025).<\/div>\n                        <\/div>\n                    <\/div>\n\n                    <div class=\"sm-chat-demo__bubble\" data-sm-chat-bubble=\"3\">\n                        <div class=\"sm-chat-demo__avatar\" style=\"border:1px solid #4285F455; background:#4285F410;\">\n                            <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#4285F4\" aria-hidden=\"true\"><path d=\"M12 24A14.304 14.304 0 0 0 0 12 14.304 14.304 0 0 0 12 0a14.305 14.305 0 0 0 12 12 14.305 14.305 0 0 0-12 12Z\"\/><\/svg>\n                        <\/div>\n                        <div class=\"sm-chat-demo__bubblebody\">\n                            <div class=\"sm-chat-demo__bubblehead\">\n                                <span class=\"sm-chat-demo__provider\">Gemini<\/span>\n                                <span class=\"sm-chat-demo__verdict-tag\" style=\"border-color:#a1a1aa50; color:#a1a1aa;\">revised<\/span>\n                            <\/div>\n                            <div class=\"sm-chat-demo__bubbletext\">Revising. With Claude&#8217;s benchmark plus Perplexity&#8217;s comp data, this fails standard diligence.<\/div>\n                        <\/div>\n                    <\/div>\n\n                    <div class=\"sm-chat-demo__bubble\" data-sm-chat-bubble=\"4\">\n                        <div class=\"sm-chat-demo__avatar\" style=\"border:1px solid #E11D4855; background:#E11D4810;\">\n                            <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#E11D48\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M9.27 15.29l7.978-5.897c.391-.29.95-.177 1.137.272.98 2.369.542 5.215-1.41 7.169-1.951 1.954-4.667 2.382-7.149 1.406l-2.711 1.257c3.889 2.661 8.611 2.003 11.562-.953 2.341-2.344 3.066-5.539 2.388-8.42l.006.007c-.983-4.232.242-5.924 2.75-9.383.06-.082.12-.164.179-.248l-3.301 3.305v-.01L9.267 15.292M7.623 16.723c-2.792-2.67-2.31-6.801.071-9.184 1.761-1.763 4.647-2.483 7.166-1.425l2.705-1.25a7.808 7.808 0 00-1.829-1A8.975 8.975 0 005.984 5.83c-2.533 2.536-3.33 6.436-1.962 9.764 1.022 2.487-.653 4.246-2.34 6.022-.599.63-1.199 1.259-1.682 1.925l7.62-6.815\"\/><\/svg>\n                        <\/div>\n                        <div class=\"sm-chat-demo__bubblebody\">\n                            <div class=\"sm-chat-demo__bubblehead\">\n                                <span class=\"sm-chat-demo__provider\">Grok<\/span>\n                                <span class=\"sm-chat-demo__verdict-tag\" style=\"border-color:#f59e0b50; color:#f59e0b;\">caveat<\/span>\n                            <\/div>\n                            <div class=\"sm-chat-demo__bubbletext\">Counter: founder retention through earn-out could fix NRR. But you&#8217;d need contractual proof, not vibes.<\/div>\n                        <\/div>\n                    <\/div>\n\n                    <!-- Master Document verdict card -->\n                    <div class=\"sm-chat-demo__masterdoc\" data-sm-chat-masterdoc>\n                        <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#c4b5fd\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\">\n                            <path d=\"M14 3v4a1 1 0 0 0 1 1h4\"\/>\n                            <path d=\"M17 21H7a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7l5 5v11a2 2 0 0 1-2 2z\"\/>\n                            <line x1=\"9\" y1=\"9\" x2=\"10\" y2=\"9\"\/>\n                            <line x1=\"9\" y1=\"13\" x2=\"15\" y2=\"13\"\/>\n                            <line x1=\"9\" y1=\"17\" x2=\"15\" y2=\"17\"\/>\n                        <\/svg>\n                        <div>\n                            <div class=\"sm-chat-demo__masterdoc-eyebrow\">Master Document &#8211; Verdict<\/div>\n                            <div class=\"sm-chat-demo__masterdoc-text\">Don&#8217;t acquire at $42M. Revisit at $26M with NRR turnaround proof, or walk.<\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n\n                <div class=\"sm-chat-demo__composer\">\n                    <div class=\"sm-chat-demo__composer-input\">Type @ to mention one AI\u2026<\/div>\n                    <span class=\"sm-chat-demo__composer-icon\" data-sm-chat-composer=\"0\">\n                        <svg width=\"13\" height=\"13\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M22.282 9.821a5.985 5.985 0 0 0-.516-4.91 6.046 6.046 0 0 0-6.51-2.9A6.065 6.065 0 0 0 4.981 4.18a5.985 5.985 0 0 0-3.998 2.9 6.046 6.046 0 0 0 .743 7.097 5.98 5.98 0 0 0 .51 4.911 6.051 6.051 0 0 0 6.515 2.9A5.985 5.985 0 0 0 13.26 24a6.056 6.056 0 0 0 5.772-4.206 5.99 5.99 0 0 0 3.997-2.9 6.056 6.056 0 0 0-.747-7.073zM13.26 22.43a4.476 4.476 0 0 1-2.876-1.04l.141-.081 4.779-2.758a.795.795 0 0 0 .392-.681v-6.737l2.02 1.168a.071.071 0 0 1 .038.052v5.583a4.504 4.504 0 0 1-4.494 4.494zM3.6 18.304a4.47 4.47 0 0 1-.535-3.014l.142.085 4.783 2.759a.771.771 0 0 0 .78 0l5.843-3.369v2.332a.08.08 0 0 1-.033.062L9.74 19.95a4.5 4.5 0 0 1-6.14-1.646zM2.34 7.896a4.485 4.485 0 0 1 2.366-1.973V11.6a.766.766 0 0 0 .388.676l5.815 3.355-2.02 1.168a.076.076 0 0 1-.071 0l-4.83-2.786A4.504 4.504 0 0 1 2.34 7.872zm16.597 3.855l-5.833-3.387L15.119 7.2a.076.076 0 0 1 .071 0l4.83 2.791a4.494 4.494 0 0 1-.676 8.105v-5.678a.79.79 0 0 0-.407-.667zm2.01-3.023l-.141-.085-4.774-2.782a.776.776 0 0 0-.785 0L9.409 9.23V6.897a.066.066 0 0 1 .028-.061l4.83-2.787a4.5 4.5 0 0 1 6.68 4.66z\"\/><\/svg>\n                    <\/span>\n                    <span class=\"sm-chat-demo__composer-icon\" data-sm-chat-composer=\"1\">\n                        <svg width=\"13\" height=\"13\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M17.3041 3.541h-3.6718l6.696 16.918H24Zm-10.6082 0L0 20.459h3.7442l1.3693-3.5527h7.0052l1.3693 3.5528h3.7442L10.5363 3.5409Zm-.3712 10.2232 2.2914-5.9456 2.2914 5.9456Z\"\/><\/svg>\n                    <\/span>\n                    <span class=\"sm-chat-demo__composer-icon\" data-sm-chat-composer=\"2\">\n                        <svg width=\"13\" height=\"13\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M22.3977 7.0896h-2.3106V.0676l-7.5094 6.3542V.0676L4.8011 7.0896H1.6021v9.7732h3.1991v7.0696l7.7776-6.6065v6.6065l7.5094-6.3542v6.3542H22.3978z\"\/><\/svg>\n                    <\/span>\n                    <span class=\"sm-chat-demo__composer-icon\" data-sm-chat-composer=\"3\">\n                        <svg width=\"13\" height=\"13\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M12 24A14.304 14.304 0 0 0 0 12 14.304 14.304 0 0 0 12 0a14.305 14.305 0 0 0 12 12 14.305 14.305 0 0 0-12 12Z\"\/><\/svg>\n                    <\/span>\n                    <span class=\"sm-chat-demo__composer-icon\" data-sm-chat-composer=\"4\">\n                        <svg width=\"13\" height=\"13\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M9.27 15.29l7.978-5.897c.391-.29.95-.177 1.137.272.98 2.369.542 5.215-1.41 7.169-1.951 1.954-4.667 2.382-7.149 1.406l-2.711 1.257c3.889 2.661 8.611 2.003 11.562-.953 2.341-2.344 3.066-5.539 2.388-8.42l.006.007c-.983-4.232.242-5.924 2.75-9.383.06-.082.12-.164.179-.248l-3.301 3.305v-.01L9.267 15.292M7.623 16.723c-2.792-2.67-2.31-6.801.071-9.184 1.761-1.763 4.647-2.483 7.166-1.425l2.705-1.25a7.808 7.808 0 00-1.829-1A8.975 8.975 0 005.984 5.83c-2.533 2.536-3.33 6.436-1.962 9.764 1.022 2.487-.653 4.246-2.34 6.022-.599.63-1.199 1.259-1.682 1.925l7.62-6.815\"\/><\/svg>\n                    <\/span>\n                <\/div>\n            <\/div>\n\n        <ul class=\"hero-models-bar\" aria-label=\"Frontier AI models included\">\n            <li class=\"hero-model-pill hero-model-pill-grok\">\n                <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"currentColor\" fill-rule=\"evenodd\" aria-hidden=\"true\"><path d=\"M9.27 15.29l7.978-5.897c.391-.29.95-.177 1.137.272.98 2.369.542 5.215-1.41 7.169-1.951 1.954-4.667 2.382-7.149 1.406l-2.711 1.257c3.889 2.661 8.611 2.003 11.562-.953 2.341-2.344 3.066-5.539 2.388-8.42l.006.007c-.983-4.232.242-5.924 2.75-9.383.06-.082.12-.164.179-.248l-3.301 3.305v-.01L9.267 15.292M7.623 16.723c-2.792-2.67-2.31-6.801.071-9.184 1.761-1.763 4.647-2.483 7.166-1.425l2.705-1.25a7.808 7.808 0 00-1.829-1A8.975 8.975 0 005.984 5.83c-2.533 2.536-3.33 6.436-1.962 9.764 1.022 2.487-.653 4.246-2.34 6.022-.599.63-1.199 1.259-1.682 1.925l7.62-6.815\"\/><\/svg>\n                <span>Grok<\/span>\n            <\/li>\n            <li class=\"hero-model-pill hero-model-pill-perplexity\">\n                <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M22.398 7.09h-2.31V.068l-7.51 6.354V.158h-1.156v6.196L4.49 0v7.09H1.602v10.397H4.49V24l6.933-6.36v6.201h1.155v-6.047l6.932 6.181v-6.488h2.888zm-3.466-4.531v4.53h-5.355zm-13.286.067l4.869 4.464h-4.87zM2.758 16.332V8.245h7.847L4.49 14.36v1.972zm2.888 5.04v-6.534l5.776-5.776v7.011zm12.708.025l-5.776-5.15V9.061l5.776 5.776zm2.889-5.065H19.51V14.36l-6.115-6.115h7.848z\"\/><\/svg>\n                <span>Perplexity<\/span>\n            <\/li>\n            <li class=\"hero-model-pill hero-model-pill-claude\">\n                <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M17.304 3.541h-3.672l6.696 16.918H24Zm-10.608 0L0 20.459h3.744l1.37-3.553h7.005l1.369 3.553h3.744L10.536 3.541Zm-.371 10.223L8.616 7.82l2.291 5.945Z\"\/><\/svg>\n                <span>Claude<\/span>\n            <\/li>\n            <li class=\"hero-model-pill hero-model-pill-chatgpt\">\n                <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M22.282 9.821a6 6 0 0 0-.516-4.91a6.05 6.05 0 0 0-6.51-2.9A6.065 6.065 0 0 0 4.981 4.18a6 6 0 0 0-3.998 2.9a6.05 6.05 0 0 0 .743 7.097a5.98 5.98 0 0 0 .51 4.911a6.05 6.05 0 0 0 6.515 2.9A6 6 0 0 0 13.26 24a6.06 6.06 0 0 0 5.772-4.206a6 6 0 0 0 3.997-2.9a6.06 6.06 0 0 0-.747-7.073M13.26 22.43a4.48 4.48 0 0 1-2.876-1.04l.141-.081l4.779-2.758a.8.8 0 0 0 .392-.681v-6.737l2.02 1.168a.07.07 0 0 1 .038.052v5.583a4.504 4.504 0 0 1-4.494 4.494M3.6 18.304a4.47 4.47 0 0 1-.535-3.014l.142.085l4.783 2.759a.77.77 0 0 0 .78 0l5.843-3.369v2.332a.08.08 0 0 1-.033.062L9.74 19.95a4.5 4.5 0 0 1-6.14-1.646M2.34 7.896a4.5 4.5 0 0 1 2.366-1.973V11.6a.77.77 0 0 0 .388.677l5.815 3.354l-2.02 1.168a.08.08 0 0 1-.071 0l-4.83-2.786A4.504 4.504 0 0 1 2.34 7.872zm16.597 3.855l-5.833-3.387L15.119 7.2a.08.08 0 0 1 .071 0l4.83 2.791a4.494 4.494 0 0 1-.676 8.105v-5.678a.79.79 0 0 0-.407-.667m2.01-3.023l-.141-.085l-4.774-2.782a.78.78 0 0 0-.785 0L9.409 9.23V6.897a.07.07 0 0 1 .028-.061l4.83-2.787a4.5 4.5 0 0 1 6.68 4.66zm-12.64 4.135l-2.02-1.164a.08.08 0 0 1-.038-.057V6.075a4.5 4.5 0 0 1 7.375-3.453l-.142.08L8.704 5.46a.8.8 0 0 0-.393.681zm1.097-2.365l2.602-1.5l2.607 1.5v2.999l-2.597 1.5l-2.607-1.5Z\"\/><\/svg>\n                <span>ChatGPT<\/span>\n            <\/li>\n            <li class=\"hero-model-pill hero-model-pill-gemini\">\n                <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M11.04 19.32Q12 21.51 12 24q0-2.49.93-4.68q.96-2.19 2.58-3.81t3.81-2.55Q21.51 12 24 12q-2.49 0-4.68-.93a12.3 12.3 0 0 1-3.81-2.58a12.3 12.3 0 0 1-2.58-3.81Q12 2.49 12 0q0 2.49-.96 4.68q-.93 2.19-2.55 3.81a12.3 12.3 0 0 1-3.81 2.58Q2.49 12 0 12q2.49 0 4.68.96q2.19.93 3.81 2.55t2.55 3.81\"\/><\/svg>\n                <span>Gemini<\/span>\n            <\/li>\n        <\/ul>\n\n\n        <\/div>\n        \n    <\/div>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 2: WHAT IT COSTS TO BE WRONG -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 100px 48px 60px;\">\n        <div style=\"max-width: 900px; margin: 0 auto;\">\n            <div class=\"section-label\">What Is At Stake<\/div>\n            <h2>One confident wrong answer. <br>Then the meeting.<\/h2>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.92); margin: 32px 0 24px 0;\">\n                The damage is never &#8220;the AI gave me a bad answer.&#8221; It is always what happened next.\n            <\/p>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.92); margin: 0 0 24px 0;\">\n                The acquisition memo that reached the partner meeting with a fabricated comp in it. The clause you read one way and your counterparty read the other. The market-entry deck you defended for forty minutes before someone asked about the regulatory angle nobody checked. The architecture six engineers built against before the scaling problem surfaced.\n            <\/p>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.92); margin: 0 0 32px 0;\">\n                None of those read as AI failures in the room. They read as your judgment. That is the part that costs.\n            <\/p>\n\n            <div style=\"padding: 36px 40px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; border-left: 3px solid #8b5cf6;\">\n                <p style=\"font-size: 20px; line-height: 1.7; color: #fafafa; margin: 0; font-weight: 500;\">\n                    The second opinion has to happen before the meeting, not during it. That is the entire job Suprmind does.\n                <\/p>\n            <\/div>\n        <\/div>\n    <\/section>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 3: THE RETURN -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 60px 48px 60px;\">\n        <div style=\"max-width: 1200px; margin: 0 auto;\">\n            <div style=\"text-align: center; margin-bottom: 56px;\">\n                <div class=\"section-label\">The Return<\/div>\n                <h2>What five AIs arguing <br>actually buys you.<\/h2>\n                <p style=\"font-size: 19px; color: #9ca3af; max-width: 780px; margin: 24px auto 0;\">\n                    Four outcomes. Every one of them has a mechanism behind it, and the mechanism is on this page further down.\n                <\/p>\n            <\/div>\n\n            <div style=\"display: flex; flex-wrap: wrap; gap: 24px; margin-bottom: 24px;\">\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 13px; letter-spacing: 0.08em; text-transform: uppercase; color: #22c55e; margin: 0 0 12px 0; font-weight: 600;\">Money you do not lose<\/p>\n                    <h3 style=\"font-size: 21px; margin: 0 0 16px 0; font-weight: 600;\">The deal you walked away from<\/h3>\n                    <p style=\"font-size: 17px; line-height: 1.7; color: rgba(255,255,255,0.88); margin: 0;\">\n                        Red Team mode attacks your plan across six vectors before you commit budget: financial, technical, reputational, regulatory, operational, and edge cases. The acquisition you passed on at $42M is the one that never appears in next year&#8217;s writedown. One caught flaw covers years of subscription.\n                    <\/p>\n                <\/div>\n\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 13px; letter-spacing: 0.08em; text-transform: uppercase; color: #22d3ee; margin: 0 0 12px 0; font-weight: 600;\">Hours back<\/p>\n                    <h3 style=\"font-size: 21px; margin: 0 0 16px 0; font-weight: 600;\">No more reconciling five tabs<\/h3>\n                    <p style=\"font-size: 17px; line-height: 1.7; color: rgba(255,255,255,0.88); margin: 0;\">\n                        Stop pasting one prompt into five windows and hand-sorting four answers that half-agree. They answer in the same thread and sort each other out. Then two clicks turn that thread into a formatted brief, instead of an afternoon in a document.\n                    <\/p>\n                <\/div>\n\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 13px; letter-spacing: 0.08em; text-transform: uppercase; color: #a78bfa; margin: 0 0 12px 0; font-weight: 600;\">Better in the room<\/p>\n                    <h3 style=\"font-size: 21px; margin: 0 0 16px 0; font-weight: 600;\">Nobody catches you out<\/h3>\n                    <p style=\"font-size: 17px; line-height: 1.7; color: rgba(255,255,255,0.88); margin: 0;\">\n                        Every objection your board, your client, or your IC is going to raise has already been raised, argued, and answered in the thread. You walk in with the counter-arguments on the page. Consultants call that surviving client scrutiny. It is most of the job.\n                    <\/p>\n                <\/div>\n\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 13px; letter-spacing: 0.08em; text-transform: uppercase; color: #eab308; margin: 0 0 12px 0; font-weight: 600;\">Confidence you can show<\/p>\n                    <h3 style=\"font-size: 21px; margin: 0 0 16px 0; font-weight: 600;\">Sure, and able to prove why<\/h3>\n                    <p style=\"font-size: 17px; line-height: 1.7; color: rgba(255,255,255,0.88); margin: 0;\">\n                        Five models trained by five different labs converging is a signal you can act on. Five models splitting tells you which specific claim to verify before you sign. Either way you can point at the thread and show how you got there, six months later, when someone asks.\n                    <\/p>\n                <\/div>\n            <\/div>\n\n            <div style=\"padding: 36px 40px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px;\">\n                <p style=\"font-size: 17px; font-weight: 600; color: #fafafa; margin: 0 0 20px 0;\">The money math, plainly<\/p>\n                <ul style=\"margin: 0; padding-left: 20px;\">\n                    <li style=\"font-size: 17px; line-height: 1.8; color: rgba(255,255,255,0.88); margin-bottom: 12px;\">Running ChatGPT Plus, Claude Pro, Perplexity Pro, Gemini Advanced, and X Premium+ separately costs about $96 a month for five isolated answers. Frontier is $95 for five models that read each other.<\/li>\n                    <li style=\"font-size: 17px; line-height: 1.8; color: rgba(255,255,255,0.88); margin-bottom: 12px;\">One fabricated citation caught before a client deliverable ships costs less to prevent than to explain afterwards.<\/li>\n                    <li style=\"font-size: 17px; line-height: 1.8; color: rgba(255,255,255,0.88); margin-bottom: 0;\">EY put average organizational losses tied to AI-related incidents at $4.4M in October 2025. Most of that is decisions, not outages.<\/li>\n                <\/ul>\n            <\/div>\n        <\/div>\n    <\/section>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 4: WHY WE BUILT IT -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 60px 48px 40px;\">\n        <div style=\"max-width: 900px; margin: 0 auto;\">\n            <div class=\"section-label\">Why This Exists<\/div>\n            <h2>We built this because we were <br>already doing it by hand.<\/h2>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.92); margin: 32px 0 24px 0;\">\n                Before Suprmind was a product it was a bad workflow. Five browser tabs. The same prompt pasted five times. Four answers that half-agreed, and an hour spent working out which one was lying.\n            <\/p>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.92); margin: 0 0 24px 0;\">\n                One thing kept happening. A model would catch another model&#8217;s mistake. Not because it was smarter, because it came from a different training run, different data, different alignment, and different retrieval behaviour. Its blind spot sat somewhere else.\n            <\/p>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.92); margin: 0 0 24px 0;\">\n                That only works if the models can see each other&#8217;s answers. In five separate tabs they cannot, so you end up doing the cross-checking yourself, badly, at 11pm. We built the thread where they can see each other and do it for you.\n            <\/p>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.92); margin: 0;\">\n                Every other part of the platform is downstream of that one mechanic.\n            <\/p>\n        <\/div>\n    <\/section>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 5: AI DECISION MAKING (decision intelligence layer) -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 80px 48px 60px;\">\n        <div style=\"max-width: 1200px; margin: 0 auto;\">\n            <div style=\"text-align: center; margin-bottom: 48px;\">\n                <div class=\"section-label\">AI Decision Making<\/div>\n                <h2>The analysis was never the hard part. <br>Turning it into a decision was.<\/h2>\n            <\/div>\n\n            <div style=\"max-width: 900px; margin: 0 auto 48px;\">\n                <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.92); margin: 0 0 24px 0;\">\n                    You run a good session. You get useful answers. Now you have eleven screens of chat, a meeting in an hour, and the synthesis is still your job, done from memory, at speed. Six months later somebody asks how you got there and you have a scroll of text.\n                <\/p>\n                <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.92); margin: 0;\">\n                    Suprmind&#8217;s decision intelligence layer reads the same thread you did and hands back the part you were going to have to write yourself. Not a summary. A structured brief with the disagreements still in it.\n                <\/p>\n            <\/div>\n\n            <div style=\"display: flex; flex-wrap: wrap; gap: 24px; margin-bottom: 32px;\">\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 13px; letter-spacing: 0.08em; text-transform: uppercase; color: #a78bfa; margin: 0 0 12px 0; font-weight: 600;\">Adjudicator<\/p>\n                    <h3 style=\"font-size: 21px; margin: 0 0 16px 0; font-weight: 600;\">A recommendation with its confidence stated<\/h3>\n                    <p style=\"font-size: 17px; line-height: 1.7; color: rgba(255,255,255,0.88); margin: 0;\">\n                        One imperative direction, the reasoning behind it, and an honest high, medium, or low confidence rating attached to it. Plus exactly one next action. You can forward that to a stakeholder without editing it first.\n                    <\/p>\n                <\/div>\n\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 13px; letter-spacing: 0.08em; text-transform: uppercase; color: #eab308; margin: 0 0 12px 0; font-weight: 600;\">Uncontested risks<\/p>\n                    <h3 style=\"font-size: 21px; margin: 0 0 16px 0; font-weight: 600;\">The risk only one model raised<\/h3>\n                    <p style=\"font-size: 17px; line-height: 1.7; color: rgba(255,255,255,0.88); margin: 0;\">\n                        When Claude flags a regulatory exposure and the other four never mention it, that is not noise. Nobody contradicted it either. The brief lists those separately with the source named, because a risk four models missed is the one that reaches your deliverable.\n                    <\/p>\n                <\/div>\n\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 13px; letter-spacing: 0.08em; text-transform: uppercase; color: #22d3ee; margin: 0 0 12px 0; font-weight: 600;\">Open questions<\/p>\n                    <h3 style=\"font-size: 21px; margin: 0 0 16px 0; font-weight: 600;\">The arguments it refuses to fake<\/h3>\n                    <p style=\"font-size: 17px; line-height: 1.7; color: rgba(255,255,255,0.88); margin: 0;\">\n                        Where the models genuinely split, the brief says so and gives you a rule for settling it later, rather than picking a winner to sound decisive. Manufactured agreement is how a bad decision gets a clean-looking paper trail.\n                    <\/p>\n                <\/div>\n            <\/div>\n\n            <div style=\"max-width: 900px; margin: 0 auto;\">\n                <p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.85); margin: 0;\">\n                    The raw material comes from the modes. Run <a href=\"\/hub\/modes\/red-team-mode\" style=\"color:#a78bfa;\">Red Team<\/a> to generate the risk register, <a href=\"\/hub\/modes\/super-mind-debate-modes\" style=\"color:#a78bfa;\">Debate<\/a> to force the arguments into the open, then let the Adjudicator settle what is settleable. For the calls you cannot undo, the <a href=\"https:\/\/suprmind.ai\/validation\" style=\"color:#a78bfa;\">Decision Validation Engine<\/a> runs six stages end to end and returns GO, NO-GO, or GO with conditions.\n                <\/p>\n            <\/div>\n        <\/div>\n    <\/section>\n\n\n<div style=\"padding:72px 0 84px; text-align: center;\">\n  <h3 class=\"your-eyebrow-class\" style=\"padding:40px;\">Companies validating decisions with Suprmind<\/h3>\n  <!-- ============================================================\r\n  Suprmind \u2014 rotating company-logo wall (social proof)\r\n  WPCode snippet \u00b7 type HTML \u00b7 location \"Shortcode\" \u2192 [wpcode id=\"\u2026\"]\r\n\r\n  Logos + rotation only. No heading, no vertical padding: write the\r\n  heading per page and wrap the shortcode in your own spacing div, e.g.\r\n    <div style=\"padding:64px 0 80px\">\r\n      <p class=\"your-eyebrow\">Companies validating decisions with Suprmind<\/p>\r\n      [wpcode id=\"NNNN\"]\r\n    <\/div>\r\n\r\n  Images: \/hub\/wp-content\/uploads\/suprmind-logos\/*.webp (12 files, 63 KB)\r\n  Tuning knobs: CONFIG (top of script). Add\/remove companies: LOGOS.\r\n============================================================= -->\r\n<div class=\"smlc\" aria-label=\"Companies using Suprmind\" role=\"group\"><\/div>\r\n\r\n<style>\r\n  .smlc{display:flex;flex-wrap:wrap;justify-content:center;align-items:center;row-gap:44px;width:100%;max-width:1280px;margin:0 auto;padding:0}\r\n  .smlc-slot{position:relative;height:48px;flex:1 1 140px;min-width:120px}\r\n  .smlc-img{position:absolute;left:50%;top:50%;opacity:0;max-width:92%;height:auto;transform:translate(-50%,-50%);will-change:opacity,transform;pointer-events:none;user-select:none}\r\n  .smlc-img[hidden]{display:none}\r\n  @media (max-width:640px){.smlc{row-gap:36px}}\r\n<\/style>\r\n\r\n<script>\r\n(function () {\r\n  'use strict';\r\n  var CONFIG = {\r\n    paceSeconds: 14,     \/\/ avg seconds between swaps per slot (0.7\u20131.6\u00d7 jitter)\r\n    fadeMs: 900,         \/\/ crossfade duration\r\n    columns: 6,          \/\/ max visible slots on desktop (3\u20136, must be < LOGOS.length)\r\n    minSwapGapMs: 1100,  \/\/ min gap between any two swaps in the wall \u2192 one animation at a time\r\n    maxLogoWidth: 170,   \/\/ px cap per logo\r\n    activeOpacity: 0.92  \/\/ resting logo brightness\r\n  };\r\n\r\n  var LOGO_BASE = '\/hub\/wp-content\/uploads\/suprmind-logos\/';\r\n  \/\/ h = render height in px (optical normalisation: compact marks taller than wide wordmarks)\r\n  \/\/ r = image width \u00f7 height (pre-sizes the box so nothing reflows when the file lands)\r\n  var LOGOS = [\r\n    { file: 'Brandingmag2.webp',      alt: 'Brandingmag',                      h: 24, r: 7.26 },\r\n    { file: 'avokado.webp',           alt: 'Avokado',                          h: 28, r: 4.89 },\r\n    { file: 'cartizz.webp',           alt: 'Cartizz',                          h: 29, r: 4.49 },\r\n    { file: 'dci.webp',               alt: 'Digital Communications Institute', h: 36, r: 4.10 },\r\n    { file: 'elevatedigital.webp',    alt: 'Elevate Digital',                  h: 34, r: 3.00 },\r\n    { file: 'f-ai-intelligence.webp', alt: 'FAII',                             h: 38, r: 1.20 },\r\n    { file: 'fourwids.webp',          alt: 'Four Winds',                       h: 42, r: 1.28 },\r\n    { file: 'missamara.webp',         alt: 'Miss Amara',                       h: 29, r: 4.47 },\r\n    { file: 'offstudio.webp',         alt: 'OFF Studio',                       h: 38, r: 1.69 },\r\n    { file: 'presswhizz.webp',        alt: 'Presswhizz',                       h: 26, r: 5.64 },\r\n    { file: 'uberpress.webp',         alt: 'UberPress',                        h: 26, r: 5.31 },\r\n    { file: 'weismuller.webp',        alt: 'Weiss-M\u00fcller',                     h: 36, r: 3.81 }\r\n  ];\r\n\r\n  var reduced = window.matchMedia && matchMedia('(prefers-reduced-motion: reduce)').matches;\r\n\r\n  function shuffle(a) {\r\n    for (var i = a.length - 1; i > 0; i--) {\r\n      var j = Math.floor(Math.random() * (i + 1)), t = a[i]; a[i] = a[j]; a[j] = t;\r\n    }\r\n    return a;\r\n  }\r\n\r\n  function init(wall) {\r\n    if (wall.dataset.smlcInit) return;          \/\/ shortcode used twice \/ script re-run guard\r\n    wall.dataset.smlcInit = '1';\r\n\r\n    var slots = [], lastSwap = 0, gen = 0, currentN = 0, rsT, running = false;\r\n\r\n    \/\/ preload once; decode off the main thread where supported\r\n    LOGOS.forEach(function (l) {\r\n      var im = new Image(); im.decoding = 'async'; im.src = LOGO_BASE + l.file;\r\n    });\r\n\r\n    function setLogo(img, idx) {\r\n      var l = LOGOS[idx];\r\n      img.dataset.idx = String(idx);\r\n      img.alt = l.alt;\r\n      img.height = l.h;\r\n      img.width = Math.min(CONFIG.maxLogoWidth, Math.round(l.h * l.r));\r\n      img.style.height = l.h + 'px';\r\n      img.src = LOGO_BASE + l.file;\r\n      img.hidden = false;\r\n    }\r\n    function clearLogo(img) {\r\n      img.dataset.idx = '';\r\n      img.removeAttribute('src'); img.alt = '';\r\n      img.hidden = true;\r\n    }\r\n    function place(img, y, visible) {\r\n      img.style.transform = 'translate(-50%,-50%) translateY(' + (reduced ? 0 : y) + 'px)';\r\n      img.style.opacity = visible ? String(CONFIG.activeOpacity) : '0';\r\n    }\r\n\r\n    \/\/ visible slot count by CONTAINER width (content column, not viewport)\r\n    function targetN() {\r\n      var w = wall.clientWidth || window.innerWidth;\r\n      var max = Math.max(3, Math.min(CONFIG.columns, LOGOS.length - 1));\r\n      return w < 560 ? 2 : w < 960 ? Math.min(4, max) : max;\r\n    }\r\n\r\n    function build() {\r\n      gen++;\r\n      currentN = targetN();\r\n      lastSwap = 0;\r\n      wall.innerHTML = '';\r\n      slots = [];\r\n      var order = shuffle(LOGOS.map(function (_, i) { return i; }));\r\n      for (var i = 0; i < currentN; i++) {\r\n        var slot = document.createElement('div');\r\n        slot.className = 'smlc-slot';\r\n        var a = document.createElement('img'), b = document.createElement('img');\r\n        a.className = b.className = 'smlc-img';\r\n        a.decoding = b.decoding = 'async';\r\n        a.draggable = b.draggable = false;\r\n        slot.appendChild(a); slot.appendChild(b);\r\n        wall.appendChild(slot);\r\n        setLogo(a, order[i]); place(a, 0, true);\r\n        clearLogo(b); place(b, 10, false);\r\n        slots.push({ layers: [a, b], active: 0 });\r\n      }\r\n       \/\/ new (random order, spread over 3.5\u201317 s at pace 14):\r\n       \/\/ first swap per slot: random order, spread over ~0.25\u20131.2\u00d7 pace (no left\u2192right sweep)\r\n       var base = CONFIG.paceSeconds * 1000;\r\n       slots.forEach(function (_, i) { schedule(i, base * 0.25 + Math.random() * base * 0.95); });\r\n    }\r\n\r\n    function referenced() {\r\n      var set = {};\r\n      slots.forEach(function (s) {\r\n        s.layers.forEach(function (el) { if (el.dataset.idx !== '') set[el.dataset.idx] = true; });\r\n      });\r\n      return set;\r\n    }\r\n\r\n    function schedule(i, delay) {\r\n      var g = gen;\r\n      setTimeout(function () { if (g === gen) trySwap(i); }, delay);\r\n    }\r\n    function reschedule(i) {\r\n      var base = CONFIG.paceSeconds * 1000;\r\n      schedule(i, base * 0.7 + Math.random() * base * 0.9);\r\n    }\r\n\r\n    function trySwap(i) {\r\n      \/\/ don't burn swaps while the tab is hidden or the wall is off-screen\r\n      if (document.hidden || !running) { schedule(i, 1500 + Math.random() * 1500); return; }\r\n\r\n      var since = Date.now() - lastSwap;\r\n      if (since < CONFIG.minSwapGapMs) {\r\n        schedule(i, CONFIG.minSwapGapMs - since + 200 + Math.random() * 500);\r\n        return;\r\n      }\r\n      \/\/ any logo referenced by ANY layer (visible, incoming, or still fading\r\n      \/\/ out) is off-limits \u2014 duplicates are structurally impossible\r\n      var ref = referenced(), candidates = [];\r\n      for (var x = 0; x < LOGOS.length; x++) if (!ref[String(x)]) candidates.push(x);\r\n      if (!candidates.length) { schedule(i, 2000); return; }\r\n      lastSwap = Date.now();\r\n\r\n      var s = slots[i];\r\n      var incoming = candidates[Math.floor(Math.random() * candidates.length)];\r\n      var outEl = s.layers[s.active];\r\n      var inEl = s.layers[1 - s.active];\r\n\r\n      \/\/ stage incoming below, invisible, no transition\r\n      inEl.style.transition = 'none';\r\n      setLogo(inEl, incoming);\r\n      place(inEl, 10, false);\r\n      void inEl.offsetWidth; \/\/ commit the staged position before animating\r\n\r\n      var trans = 'opacity ' + CONFIG.fadeMs + 'ms ease-out, transform ' + CONFIG.fadeMs + 'ms ease-out';\r\n      inEl.style.transition = trans;\r\n      outEl.style.transition = trans;\r\n      place(inEl, 0, true);\r\n      place(outEl, -10, false);\r\n      s.active = 1 - s.active;\r\n\r\n      \/\/ release the outgoing logo only after its fade fully completes\r\n      var g = gen;\r\n      setTimeout(function () { if (g === gen) clearLogo(outEl); }, CONFIG.fadeMs + 140);\r\n      reschedule(i);\r\n    }\r\n\r\n    function onResize() {\r\n      clearTimeout(rsT);\r\n      rsT = setTimeout(function () { if (targetN() !== currentN) build(); }, 150);\r\n    }\r\n    if (window.ResizeObserver) new ResizeObserver(onResize).observe(wall);\r\n    else window.addEventListener('resize', onResize);\r\n\r\n    \/\/ only rotate while the wall is (near) the viewport\r\n    if (window.IntersectionObserver) {\r\n      new IntersectionObserver(function (entries) {\r\n        running = entries[0].isIntersecting;\r\n      }, { rootMargin: '200px 0px' }).observe(wall);\r\n    } else { running = true; }\r\n\r\n    build();\r\n  }\r\n\r\n  function start() { document.querySelectorAll('.smlc').forEach(init); }\r\n  if (document.readyState === 'loading') document.addEventListener('DOMContentLoaded', start);\r\n  else start();\r\n})();\r\n<\/script>\r\n\n<\/div>\n\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 12: TESTIMONIALS -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n\n\n<section class=\"sm-section sm-section--dark sm-testimonials-section\">\n  <div class=\"sm-section__inner\">\n            <h2>Built for people who need decisions <br>that survive scrutiny.<\/h2>\n    <div class=\"sm-testimonials__grid\">\n      <!-- Featured -->\n      <figure class=\"sm-testimonials__featured\">\n        <svg class=\"sm-testimonials__quote-mark\" viewBox=\"0 0 24 24\" fill=\"currentColor\" aria-hidden=\"true\">\n          <path d=\"M3 21V13H7C7 10.79 5.21 9 3 9V7C6.31 7 9 9.69 9 13V21H3ZM15 21V13H19C19 10.79 17.21 9 15 9V7C18.31 7 21 9.69 21 13V21H15Z\"\/>\n        <\/svg>\n        <blockquote class=\"sm-testimonials__featured-quote\">\n          &ldquo;5 AIs were a go-to resource in setting up our new business venture in NYC. From red teaming the initial idea (with harsh feedback), studio market and competitors analysis, to day to day brainstorming about launch phases and website setup. Being able to bounce any idea off 5 AIs, get a clear filtered answer and a todo list in 10 minutes helps a lot.&rdquo;\n        <\/blockquote>\n        <figcaption class=\"sm-testimonials__caption\">\n          <span class=\"sm-testimonials__avatar sm-testimonials__avatar--lg\" aria-hidden=\"true\">LF<\/span>\n          <div>\n            <p class=\"sm-testimonials__author\">Luka Funduk<\/p>\n            <p class=\"sm-testimonials__role\">CEO, OFF Studio NYC &amp; Funduck Production<\/p>\n          <\/div>\n        <\/figcaption>\n      <\/figure>\n\n      <!-- Supporting column -->\n      <div class=\"sm-testimonials__column\">\n        <figure class=\"sm-testimonials__card\">\n          <blockquote class=\"sm-testimonials__card-quote\">\n            &ldquo;I started using it for competitor research and it just kept expanding &#8211; new markets, risk reviews, compliance docs. Five different angles on the same question catches things I would have missed.&rdquo;\n          <\/blockquote>\n          <figcaption class=\"sm-testimonials__card-caption\">\n            <span class=\"sm-testimonials__avatar\" aria-hidden=\"true\">AW<\/span>\n            <div>\n              <p class=\"sm-testimonials__author\">Aaron Weller<\/p>\n              <p class=\"sm-testimonials__role\">CEO &amp; Co-founder, Miss Amara<\/p>\n            <\/div>\n          <\/figcaption>\n        <\/figure>\n\n        <figure class=\"sm-testimonials__card\">\n          <blockquote class=\"sm-testimonials__card-quote\">\n            &ldquo;We run everything through Suprmind now &#8211; new business ideas, client contracts, marketing strategies. Having five AIs push back on each other in one thread replaced hours of second-guessing between tools.&rdquo;\n          <\/blockquote>\n          <figcaption class=\"sm-testimonials__card-caption\">\n            <span class=\"sm-testimonials__avatar\" aria-hidden=\"true\">MD<\/span>\n            <div>\n              <p class=\"sm-testimonials__author\">Milica D.<\/p>\n              <p class=\"sm-testimonials__role\">Co-founder &amp; COO, Global Digital Marketing Agency<\/p>\n            <\/div>\n          <\/figcaption>\n        <\/figure>\n\n        <figure class=\"sm-testimonials__card\">\n          <blockquote class=\"sm-testimonials__card-quote\">\n            &ldquo;For analyzing business plans and evaluating client processes, the depth you get from five models reading each other is genuinely different. The Master Document export with custom prompt alone saves me hours on final reports.&rdquo;\n          <\/blockquote>\n          <figcaption class=\"sm-testimonials__card-caption\">\n            <span class=\"sm-testimonials__avatar\" aria-hidden=\"true\">MT<\/span>\n            <div>\n              <p class=\"sm-testimonials__author\">Milos Tanasijevic<\/p>\n              <p class=\"sm-testimonials__role\">Senior International Adviser, EBRD &#8211; European Bank for Reconstruction and Development<\/p>\n            <\/div>\n          <\/figcaption>\n        <\/figure>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 6: AI CONSENSUS -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 60px 48px 60px;\">\n        <div style=\"max-width: 1200px; margin: 0 auto;\">\n            <div style=\"text-align: center; margin-bottom: 48px;\">\n                <div class=\"section-label\">AI Consensus<\/div>\n                <h2>Consensus is a signal. <br>It is not proof.<\/h2>\n            <\/div>\n\n            <div style=\"max-width: 900px; margin: 0 auto 48px;\">\n                <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.92); margin: 0 0 24px 0;\">\n                    Five models agreeing feels like proof. Often it is the best signal available to you. Sometimes all five learned the same thing wrong, or one confident answer anchored the four that followed. That failure has a name, a convergent hallucination, and a single-AI tool cannot see it at all because it has nothing to compare against.\n                <\/p>\n                <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.92); margin: 0;\">\n                    An AI consensus platform earns the name by measuring agreement instead of assuming it, then checking it from outside the room.\n                <\/p>\n            <\/div>\n\n            <div style=\"display: flex; flex-wrap: wrap; gap: 24px; margin-bottom: 32px;\">\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 13px; letter-spacing: 0.08em; text-transform: uppercase; color: #a78bfa; margin: 0 0 12px 0; font-weight: 600;\">Measured, not assumed<\/p>\n                    <h3 style=\"font-size: 21px; margin: 0 0 16px 0; font-weight: 600;\">Agreement you can see the shape of<\/h3>\n                    <p style=\"font-size: 17px; line-height: 1.7; color: rgba(255,255,255,0.88); margin: 0;\">\n                        The Disagreement\/Correction Index scores every turn for contradictions and corrections and drops a card in below the messages the moment models split. <a href=\"\/hub\/modes\/sequential-mode\" style=\"color:#a78bfa;\">Sequential<\/a> builds the agreement one model at a time so you watch it form. <a href=\"\/hub\/modes\/super-mind\" style=\"color:#a78bfa;\">Super Mind<\/a> runs all five at once and maps consensus and divergence in a single pass when you need the read in under a minute.\n                    <\/p>\n                <\/div>\n\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 13px; letter-spacing: 0.08em; text-transform: uppercase; color: #22c55e; margin: 0 0 12px 0; font-weight: 600;\">Live on every plan<\/p>\n                    <h3 style=\"font-size: 21px; margin: 0 0 16px 0; font-weight: 600;\">Four models reading the fifth<\/h3>\n                    <p style=\"font-size: 17px; line-height: 1.7; color: rgba(255,255,255,0.88); margin: 0;\">\n                        The passive layer of the Suprmind AI Anti-Hallucinogen is just the conversation working. One model invents something, four others are reading it in the same thread, and one of them frequently knows better and says so. Different training data, different cutoffs, different retrieval, blind spots in different places. It costs nothing extra and it is already running.\n                    <\/p>\n                <\/div>\n\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid #8b5cf6; border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 13px; letter-spacing: 0.08em; text-transform: uppercase; color: #a78bfa; margin: 0 0 12px 0; font-weight: 600;\">True North &middot; Coming soon<\/p>\n                    <h3 style=\"font-size: 21px; margin: 0 0 16px 0; font-weight: 600;\">For when all five are wrong together<\/h3>\n                    <p style=\"font-size: 17px; line-height: 1.7; color: rgba(255,255,255,0.88); margin: 0;\">\n                        The active layer works outside the boardroom, because no AI should grade its own homework. It reads completed responses, selects the checkable claims, researches them against live external sources, and rules SUPPORTED, CONTRADICTED, or UNVERIFIABLE. It is running in shadow mode now while we measure precision, so it records verdicts rather than changing your thread.\n                    <\/p>\n                <\/div>\n            <\/div>\n\n            <div style=\"max-width: 900px; margin: 0 auto; padding: 36px 40px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; border-left: 3px solid #8b5cf6;\">\n                <p style=\"font-size: 20px; line-height: 1.7; color: #fafafa; margin: 0 0 14px 0; font-weight: 500;\">\n                    When consensus is wrong, evidence gets another vote.\n                <\/p>\n                <p style=\"font-size: 17px; line-height: 1.7; color: #a1a1aa; margin: 0;\">\n                    Suprmind does not claim to eliminate hallucinations. No tool does. Five models create far more chances for a mistake to get caught, and the Anti-Hallucinogen system exists for the cases where they do not.\n                <\/p>\n            <\/div>\n        <\/div>\n    <\/section>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 3: THE CONFIDENCE PROBLEM -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 60px 48px 100px;\">\n        <div style=\"max-width: 1000px; margin: 0 auto;\">\n            <div style=\"text-align: center;\">\n                <div class=\"section-label\">The Hallucination Problem<\/div>\n                <h2>Single AI decision making tools sound <br>most confident when they have the least to back it up.<\/h2>\n            <\/div>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 40px 0 24px 0;\">\n                Ask one AI to weigh a high-stakes call and it fabricates a statistic, a citation, a precedent, or a clause interpretation. You will not know. There is no second voice in the room. The output looks clean. You act on it.\n            <\/p>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px 0;\">\n                Every frontier model hallucinates. Research puts the rate at 5 to 10% on hard questions and higher on anything needing retrieval or real-world grounding. Our living index of <a href=\"\/hub\/ai-hallucination-rates-and-benchmarks\/\" style=\"color:#a78bfa;\">AI hallucination rates across frontier models<\/a> tracks the current numbers monthly.\n            <\/p>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px 0;\">\n                The dangerous part is not the rate. It is that models are trained to sound helpful, so they sound most confident exactly when they have nothing underneath. Single-AI decision making software cannot catch its own confident errors. A second model reading the first one can. That is the entire premise of multi-model AI decision support.\n            <\/p>\n        <\/div>\n    <\/section>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 4: DEMO (shortcode placeholder) -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <h2 style=\"text-align:center; max-width:760px; margin:0 auto 24px; font-size:2rem; line-height:1.3;\">See AI Decision Making Tools in Action<\/h2>\n    <style>@media (max-width: 768px){#suprmind-demo{margin-left:calc(-1 * var(--suprmind-demo-mobile-bleed, 8px))!important;margin-right:calc(-1 * var(--suprmind-demo-mobile-bleed, 8px))!important;width:calc(100% + var(--suprmind-demo-mobile-bleed, 8px) * 2)!important;}}<\/style><div id=\"suprmind-demo\" style=\"width:100%; overflow:hidden;\"><\/div>\n\n\n    \n    <section class=\"sm-section sm-section--dark sm-evidence-section\">\n      <div class=\"sm-section__inner\">\n        <h2 class=\"sm-evidence__header\">See What Happens When Five AIs Read the Same Thread<\/h2>\n        <p class=\"sm-evidence__subtitle\" style=\"text-align:center;\">\n          A user uploaded two books and asked Grok to find a specific passage. What happened next is why single-AI workflows are dangerous.\n        <\/p>\n\n        <div class=\"sm-evidence__cards\">\n          <div class=\"sm-evidence__card\">\n            <div class=\"sm-evidence__card-head\">\n              <p class=\"sm-evidence__label\">The Test<\/p>\n            <\/div>\n            <p class=\"sm-evidence__content\">\n              The user gave Grok a verifiable task: find a sentence in an uploaded novel and continue the paragraph after it.\n            <\/p>\n            <p class=\"sm-evidence__detail sm-evidence__detail--test\">\n              &ldquo;\u2026it was clear that they were not being moved on for strategic reasons &#8211; but&rdquo;\n            <\/p>\n            <p class=\"sm-evidence__detail-caption\">Continue from here. The paragraph should pop up.<\/p>\n          <\/div>\n\n          <div class=\"sm-evidence__card sm-evidence__card--fabricated\">\n            <div class=\"sm-evidence__card-head\">\n              <p class=\"sm-evidence__label\">Grok<\/p>\n              <span class=\"sm-evidence__tag sm-evidence__tag--fabricated\">Fabricated<\/span>\n            <\/div>\n            <p class=\"sm-evidence__content\">\n              Grok produced a fluent, confident paragraph of Warhammer prose. It referenced characters, locations, and themes from the books. It read like a direct quote.\n            <\/p>\n            <p class=\"sm-evidence__detail sm-evidence__detail--fabricated\">\n              It wasn&#8217;t in the book. Grok wrote it and presented it as retrieved text.\n            <\/p>\n          <\/div>\n\n          <div class=\"sm-evidence__card sm-evidence__card--caught\">\n            <div class=\"sm-evidence__card-head\">\n              <p class=\"sm-evidence__label\">Claude<\/p>\n              <span class=\"sm-evidence__tag sm-evidence__tag--caught\">Caught<\/span>\n            <\/div>\n            <p class=\"sm-evidence__content\">\n              Claude ran 8 verification searches. Zero results. Then identified four tells proving fabrication: referencing the conversation&#8217;s own framework, generic phrasing, no page reference, and blended quote\/interpretation.\n            <\/p>\n            <p class=\"sm-evidence__detail sm-evidence__detail--caught\">\n              Verdict: &ldquo;Silent confabulation dressed up as sourced data.&rdquo;\n            <\/p>\n          <\/div>\n        <\/div>\n\n        <p class=\"sm-evidence__link-wrap\">\n          <a class=\"sm-evidence__link\" href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/\">\n            <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\">\n              <path d=\"M15 3h6v6\"\/>\n              <path d=\"M9 21H3v-6\"\/>\n              <path d=\"M21 3l-7 7\"\/>\n              <path d=\"M3 21l7-7\"\/>\n            <\/svg>\n            See the full conversation\n          <\/a>\n        <\/p>\n\n        <div class=\"sm-evidence__caption\">\n          <p class=\"sm-evidence__caption-line1\">\n            This is a real conversation from a real Suprmind session. Not a demo. Not a hypothetical. One AI fabricated. Another caught it. In the same thread, in front of the user.\n          <\/p>\n          <p class=\"sm-evidence__caption-line2\">\n            With a single AI, you&#8217;d have a confident lie and no reason to question it.\n          <\/p>\n        <\/div>\n      <\/div>\n    <\/section>\n    \n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 5: CONSENSUS AND DISSENT (the centerpiece) -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 100px 48px;\">\n        <div style=\"max-width: 1000px; margin: 0 auto;\">\n            <div style=\"text-align: center;\">\n                <div class=\"section-label\">Consensus and Dissent<\/div>\n                <h2>Consensus only counts if the models <br>were free to disagree.<\/h2>\n            <\/div>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 40px 0 24px 0;\">\n                Every frontier model is shaped by human feedback. Helpful, agreeable, confident-sounding answers get rewarded. Pushback gets penalized. So when you ask one AI whether your investment thesis holds, whether your contract clause protects you, whether your go-to-market call survives scrutiny, it tends to find the reasons you are right. It smooths over the parts that should make you pause.\n            <\/p>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 24px 0;\">\n                One model agreeing with you is not consensus. It is compliance. Real agreement requires independent reasoners that could have gone the other way and didn&#8217;t.\n            <\/p>\n\n            <p style=\"font-size: 19px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0 0 40px 0;\">\n                Claude, GPT, Gemini, Grok, and Perplexity are trained by five different labs, on different data, with different alignment approaches, and different retrieval behaviour. Five models that were each free to object and chose not to is worth something. One model telling you what you wanted to hear is worth nothing. <a href=\"\/hub\/platform\/\" style=\"color:#a78bfa;\">The multi-AI platform underneath<\/a> keeps the dissent visible instead of collapsing it into a single tidy paragraph.\n            <\/p>\n\n            <div style=\"padding: 40px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; text-align: center;\">\n                <p style=\"font-size: 22px; line-height: 1.6; font-style: italic; color: rgba(255,255,255,0.95); margin: 0;\">\n                    Single-AI tools smooth over conflict. <br>Decision intelligence puts it on the record.\n                <\/p>\n                <p style=\"font-size: 17px; line-height: 1.6; color: #9ca3af; margin: 16px 0 0 0;\">\n                    When the world&#8217;s frontier models disagree, that disagreement is telling you where your decision actually lives.\n                <\/p>\n            <\/div>\n        <\/div>\n    <\/section>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 6: THE RESEARCH -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 40px 48px 0px 48px;\">\n        <div style=\"max-width: 1200px; margin: 0 auto;\">\n            <div class=\"section-label\" style=\"text-align: center;\">The Research<\/div>\n            <h2 style=\"text-align: center; max-width: 960px; margin: 0 auto 24px;\">\n                We measured agreement and disagreement across 1,324 real production turns. <br>Here is what multi-model decision support actually delivers.\n            <\/h2>\n            <p style=\"text-align: center; max-width: 740px; margin: 0 auto 60px; font-size: 18px; color: #e5e7eb; line-height: 1.7;\">\n                Not a lab benchmark. 45 days of real production decisions across finance, legal, medical, strategy, and technical work, scored for contradictions, corrections, and unique insights across Claude, GPT, Gemini, Grok, and Perplexity.\n            <\/p>\n        <\/div>\n    <\/section>\n\n    <section style=\"padding: 20px 48px 100px;\">\n        <div style=\"max-width: 1200px; margin: 0 auto;\">\n            <h3 style=\"text-align: center; font-size: 24px; font-weight: 600; margin: 40px 0 32px;\">What actually happens in a decision conversation<\/h3>\n            <div class=\"comparison-table\" style=\"max-width: 960px; margin: 0 auto;\">\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Metric<\/div>\n                    <div class=\"comparison-value\">Single AI Chat<\/div>\n                    <div class=\"comparison-value\">Suprmind (measured)<\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Perspectives per question<\/div>\n                    <div class=\"comparison-value\">1<\/div>\n                    <div class=\"comparison-value\"><strong>5, each reading the others<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Unique insights per conversation<\/div>\n                    <div class=\"comparison-value\">1 set<\/div>\n                    <div class=\"comparison-value\"><strong>+2.6 additional caught by one of five<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Cross-model corrections<\/div>\n                    <div class=\"comparison-value\">0 (impossible)<\/div>\n                    <div class=\"comparison-value\"><strong>1,401 across the study<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Contradictions surfaced<\/div>\n                    <div class=\"comparison-value\">0 (one voice)<\/div>\n                    <div class=\"comparison-value\"><strong>54% of turns<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Conversations with added signal<\/div>\n                    <div class=\"comparison-value\">Unknown<\/div>\n                    <div class=\"comparison-value\"><strong>99.1%<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Signal-free &#8220;silent&#8221; conversations<\/div>\n                    <div class=\"comparison-value\">Unknown<\/div>\n                    <div class=\"comparison-value\"><strong>0.9%<\/strong><\/div>\n                <\/div>\n            <\/div>\n\n    \n    <section class=\"sm-section sm-section--dark sm-datalab-section\">\n      <div class=\"sm-section__inner\">\n        <div class=\"sm-datalab__grid\">\n          <!-- Left: manifesto -->\n          <aside class=\"sm-datalab__aside\">\n            <p class=\"sm-datalab__eyebrow\">Suprmind Data Lab<\/p>\n            <h2 class=\"sm-datalab__headline\">We quote benchmarks. And we run them.<\/h2>\n            <p class=\"sm-datalab__manifesto\">\n              Everyone in this category cites third-party studies. <a href=\"\/hub\/best-ai-for-business\/\" title=\"Best AI for Business\" data-wpil-monitor-id=\"2793\">Suprmind is the only AI decision-making platform<\/a> publishing original production research on a quarterly cadence, with full methodology, downloadable datasets, and an open license. Most of what the industry says about how frontier models compare comes from labs. We measure it in real work.\n            <\/p>\n            <div class=\"sm-datalab__pillars\">\n              <div>\n                <p class=\"sm-datalab__pillar-v\">50+<\/p>\n                <p class=\"sm-datalab__pillar-l\">Sources tracked<\/p>\n              <\/div>\n              <div>\n                <p class=\"sm-datalab__pillar-v\">1,324<\/p>\n                <p class=\"sm-datalab__pillar-l\">Production turns analyzed<\/p>\n              <\/div>\n              <div>\n                <p class=\"sm-datalab__pillar-v\">Monthly<\/p>\n                <p class=\"sm-datalab__pillar-l\">Hallucination benchmark refresh<\/p>\n              <\/div>\n              <div>\n                <p class=\"sm-datalab__pillar-v\">Quarterly<\/p>\n                <p class=\"sm-datalab__pillar-l\">Original research cadence<\/p>\n              <\/div>\n            <\/div>\n          <\/aside>\n\n          <!-- Right: research index -->\n          <div class=\"sm-datalab__entries\">\n            <!-- 001 - Multi-Model AI Divergence Index -->\n            <a\n              class=\"sm-datalab__card\"\n              href=\"https:\/\/suprmind.ai\/hub\/multi-model-ai-divergence-index\/\"\n              target=\"_blank\"\n              rel=\"noopener noreferrer\"\n            >\n              <div>\n                <div class=\"sm-datalab__id\">001<\/div>\n                <div class=\"sm-datalab__monogram\">\n                  <svg width=\"64\" height=\"64\" viewBox=\"0 0 64 64\" fill=\"none\" aria-hidden=\"true\">\n                    <line x1=\"14\" y1=\"18\" x2=\"50\" y2=\"14\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                    <line x1=\"14\" y1=\"18\" x2=\"32\" y2=\"48\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                    <line x1=\"14\" y1=\"18\" x2=\"52\" y2=\"46\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                    <line x1=\"50\" y1=\"14\" x2=\"52\" y2=\"46\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                    <line x1=\"50\" y1=\"14\" x2=\"32\" y2=\"48\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                    <line x1=\"32\" y1=\"48\" x2=\"52\" y2=\"46\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                    <line x1=\"14\" y1=\"18\" x2=\"10\" y2=\"40\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                    <line x1=\"10\" y1=\"40\" x2=\"32\" y2=\"48\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                    <circle cx=\"14\" cy=\"18\" r=\"3.5\" fill=\"rgba(255,255,255,0.10)\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                    <circle cx=\"50\" cy=\"14\" r=\"3.5\" fill=\"rgba(255,255,255,0.10)\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                    <circle cx=\"10\" cy=\"40\" r=\"3.5\" fill=\"rgba(255,255,255,0.10)\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                    <circle cx=\"52\" cy=\"46\" r=\"3.5\" fill=\"rgba(255,255,255,0.10)\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                    <circle cx=\"32\" cy=\"48\" r=\"3.5\" fill=\"rgba(255,255,255,0.10)\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                    <circle cx=\"32\" cy=\"16\" r=\"1.5\" fill=\"#fff\"\/>\n                    <circle cx=\"22\" cy=\"33\" r=\"1.5\" fill=\"#fff\"\/>\n                    <circle cx=\"42\" cy=\"30\" r=\"1.5\" fill=\"#fff\"\/>\n                  <\/svg>\n                <\/div>\n              <\/div>\n              <div>\n                <p class=\"sm-datalab__type\">ORIGINAL RESEARCH<\/p>\n                <h3 class=\"sm-datalab__title\">Multi-Model AI Divergence Index<\/h3>\n                <p class=\"sm-datalab__edition\">April 2026 Edition &#8211; The Confidence Trap<\/p>\n                <p class=\"sm-datalab__blurb\">\n                  Suprmind&#8217;s own production data. 1,324 multi-AI turns across 299 users, scored for contradiction, correction, and unique insight per provider. The first systematic measurement of where five frontier AIs disagree, who catches whom, and how often confident answers don&#8217;t survive peer review.\n                <\/p>\n                <div class=\"sm-datalab__stats\" style=\"grid-template-columns: repeat(3, minmax(0, 1fr));\">\n                  <div>\n                    <p class=\"sm-datalab__stat-v\">9.77\u00d7<\/p>\n                    <p class=\"sm-datalab__stat-l\">Perplexity vs Gemini catch ratio<\/p>\n                  <\/div>\n                  <div>\n                    <p class=\"sm-datalab__stat-v\">51.3%<\/p>\n                    <p class=\"sm-datalab__stat-l\">Of Gemini&#8217;s confident answers contradicted<\/p>\n                  <\/div>\n                  <div>\n                    <p class=\"sm-datalab__stat-v\">72.1%<\/p>\n                    <p class=\"sm-datalab__stat-l\">Disagreement on financial questions<\/p>\n                  <\/div>\n                <\/div>\n                <div class=\"sm-datalab__meta-wrap\">\n                  <div class=\"sm-datalab__meta-row\">\n                    <span><span class=\"sm-datalab__meta-k\">Published:<\/span> <span class=\"sm-datalab__meta-v\">April 2026<\/span><\/span>\n                    <span><span class=\"sm-datalab__meta-k\">Sample:<\/span> <span class=\"sm-datalab__meta-v\">1,324 production turns<\/span><\/span>\n                    <span><span class=\"sm-datalab__meta-k\">Cadence:<\/span> <span class=\"sm-datalab__meta-v\">Quarterly<\/span><\/span>\n                    <span><span class=\"sm-datalab__meta-k\">Next edition:<\/span> <span class=\"sm-datalab__meta-v\">August 2026<\/span><\/span>\n                    <span><span class=\"sm-datalab__meta-k\">License:<\/span> <span class=\"sm-datalab__meta-v\">CC BY 4.0 &#8211; 12 CSVs<\/span><\/span>\n                  <\/div>\n                  <div class=\"sm-datalab__cta\">\n                    <span class=\"sm-datalab__cta-link\">Read the research <span aria-hidden=\"true\">\u2197<\/span><\/span>\n                  <\/div>\n                <\/div>\n              <\/div>\n            <\/a>\n\n            <!-- 002 - AI Hallucination Rates & Benchmarks -->\n            <a\n              class=\"sm-datalab__card\"\n              href=\"https:\/\/suprmind.ai\/hub\/ai-hallucination-rates-and-benchmarks\/\"\n              target=\"_blank\"\n              rel=\"noopener noreferrer\"\n            >\n              <div>\n                <div class=\"sm-datalab__id\">002<\/div>\n                <div class=\"sm-datalab__monogram\">\n                  <svg width=\"64\" height=\"64\" viewBox=\"0 0 64 64\" fill=\"none\" aria-hidden=\"true\">\n                    <rect x=\"6\" y=\"34\" width=\"6\" height=\"22\" fill=\"none\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                    <rect x=\"15\" y=\"18\" width=\"6\" height=\"38\" fill=\"none\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"1\"\/>\n                    <rect x=\"24\" y=\"26\" width=\"6\" height=\"30\" fill=\"none\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                    <rect x=\"33\" y=\"8\" width=\"6\" height=\"48\" fill=\"none\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"1\"\/>\n                    <rect x=\"42\" y=\"38\" width=\"6\" height=\"18\" fill=\"none\" stroke=\"#fff\" stroke-width=\"1\"\/>\n                    <rect x=\"51\" y=\"14\" width=\"6\" height=\"42\" fill=\"none\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"1\"\/>\n                    <line x1=\"4\" y1=\"56.5\" x2=\"60\" y2=\"56.5\" stroke=\"rgba(255,255,255,0.45)\" stroke-width=\"0.5\"\/>\n                  <\/svg>\n                <\/div>\n              <\/div>\n              <div>\n                <p class=\"sm-datalab__type\">LIVE BENCHMARK<\/p>\n                <h3 class=\"sm-datalab__title\">AI Hallucination Rates &amp; Benchmarks<\/h3>\n                <p class=\"sm-datalab__edition\">May 2026 Edition &#8211; updated monthly<\/p>\n                <p class=\"sm-datalab__blurb\">\n                  A continuously updated aggregator of every major AI hallucination benchmark &#8211; Vectara, AA-Omniscience, FACTS, HalluHard, CJR Citation &#8211; cross-referenced and enriched with Suprmind&#8217;s production findings. The most-cited single page on hallucination rates anywhere.\n                <\/p>\n                <div class=\"sm-datalab__stats\" style=\"grid-template-columns: repeat(3, minmax(0, 1fr));\">\n                  <div>\n                    <p class=\"sm-datalab__stat-v\">$4.4M<\/p>\n                    <p class=\"sm-datalab__stat-l\">Average loss per organization from AI-related incidents (EY, Oct 2025)<\/p>\n                  <\/div>\n                  <div>\n                    <p class=\"sm-datalab__stat-v\">88%<\/p>\n                    <p class=\"sm-datalab__stat-l\">Gemini 3 Pro hallucination when uncertain<\/p>\n                  <\/div>\n                  <div>\n                    <p class=\"sm-datalab__stat-v\">73-86%<\/p>\n                    <p class=\"sm-datalab__stat-l\">Hallucination reduction with web search enabled<\/p>\n                  <\/div>\n                <\/div>\n                <div class=\"sm-datalab__meta-wrap\">\n                  <div class=\"sm-datalab__meta-row\">\n                    <span><span class=\"sm-datalab__meta-k\">Updated:<\/span> <span class=\"sm-datalab__meta-v\">Monthly<\/span><\/span>\n                    <span><span class=\"sm-datalab__meta-k\">Last revision:<\/span> <span class=\"sm-datalab__meta-v\">April 26, 2026<\/span><\/span>\n                    <span><span class=\"sm-datalab__meta-k\">Sources:<\/span> <span class=\"sm-datalab__meta-v\">50+ peer-reviewed<\/span><\/span>\n                    <span><span class=\"sm-datalab__meta-k\">Coverage:<\/span> <span class=\"sm-datalab__meta-v\">GPT-5.5, Claude 4.7, Gemini 3.1, Grok 4.20<\/span><\/span>\n                    <span><span class=\"sm-datalab__meta-k\">Format:<\/span> <span class=\"sm-datalab__meta-v\">Open access<\/span><\/span>\n                  <\/div>\n                  <div class=\"sm-datalab__cta\">\n                    <span class=\"sm-datalab__cta-link\">Read the research <span aria-hidden=\"true\">\u2197<\/span><\/span>\n                  <\/div>\n                <\/div>\n              <\/div>\n            <\/a>\n\n            <!-- 003 - Positional Divergence (embargoed) -->\n            <div class=\"sm-datalab__card sm-datalab__card--upcoming\">\n              <div>\n                <div class=\"sm-datalab__id\">003<\/div>\n                <div class=\"sm-datalab__monogram\">\n                  <svg width=\"64\" height=\"64\" viewBox=\"0 0 64 64\" fill=\"none\" aria-hidden=\"true\">\n                    <line x1=\"8\" y1=\"32\" x2=\"56\" y2=\"32\" stroke=\"rgba(255,255,255,0.15)\" stroke-width=\"0.5\" stroke-dasharray=\"2 3\"\/>\n                    <circle cx=\"12\" cy=\"32\" r=\"3\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.20)\" stroke-width=\"1\"\/>\n                    <circle cx=\"22\" cy=\"32\" r=\"3\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.20)\" stroke-width=\"1\"\/>\n                    <circle cx=\"32\" cy=\"32\" r=\"3\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.20)\" stroke-width=\"1\"\/>\n                    <circle cx=\"42\" cy=\"32\" r=\"3\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.20)\" stroke-width=\"1\"\/>\n                    <circle cx=\"52\" cy=\"32\" r=\"3.5\" fill=\"none\" stroke=\"rgba(255,255,255,0.20)\" stroke-width=\"1\" stroke-dasharray=\"2 1.5\"\/>\n                  <\/svg>\n                <\/div>\n              <\/div>\n              <div>\n                <p class=\"sm-datalab__type\">Q3 2026 &#8211; IN FLIGHT<\/p>\n                <h3 class=\"sm-datalab__title\">Positional Divergence<\/h3>\n                <p class=\"sm-datalab__edition\">Original research &#8211; release August 2026<\/p>\n                <p class=\"sm-datalab__blurb\">\n                  How a model&#8217;s answer changes depending on whether it responds first, middle, or last in a sequential multi-model chain. The question no lab benchmark can answer &#8211; because no lab benchmark runs sequential chains. Data collection underway.\n                <\/p>\n                <div class=\"sm-datalab__meta-wrap\">\n                  <div class=\"sm-datalab__meta-row\">\n                    <span><span class=\"sm-datalab__meta-k\">Status:<\/span> <span class=\"sm-datalab__meta-v\">Data collection<\/span><\/span>\n                    <span><span class=\"sm-datalab__meta-k\">Sample target:<\/span> <span class=\"sm-datalab__meta-v\">~2,000 chains<\/span><\/span>\n                    <span><span class=\"sm-datalab__meta-k\">Release:<\/span> <span class=\"sm-datalab__meta-v\">August 2026<\/span><\/span>\n                  <\/div>\n                  <div class=\"sm-datalab__cta\">\n                    <span class=\"sm-datalab__cta-embargo\">Embargoed until publication<\/span>\n                  <\/div>\n                <\/div>\n              <\/div>\n            <\/div>\n          <\/div>\n        <\/div>\n      <\/div>\n    <\/section>\n    \n        <\/div>\n    <\/section>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 7: AGGREGATOR vs ORCHESTRATOR -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 100px 48px;\">\n        <div class=\"comparison-container\">\n            <div style=\"text-align: left;\">\n                <div class=\"section-label\">The &#8220;AI Decision Tool&#8221; Problem<\/div>\n                <h2>Most AI decision-making tools are five logins. <br>Not five models thinking together.<\/h2>\n            <\/div>\n\n            <p class=\"section-subtitle\" style=\"margin-top: 32px;\">\n                The category is crowded with software calling itself an AI decision-making platform. These tools solve one legitimate problem well: one subscription instead of several. You pick a model from a dropdown, send your prompt, read the answer, switch models, start over. <br>\nAlternatively, you send your prompt, and four AIs respond in parallel, each in their chat box. \n            <\/p>\n\n            <p class=\"section-subtitle\">\n                That is access, not orchestration. You still ask one model at a time. You still reconcile contradictions manually. You still lose context every time you switch tabs. At the end you have four isolated answers and no way to know which one missed the thing that mattered. A dropdown cannot catch a hallucination. A shared thread can.\n            <\/p>\n\n            <p class=\"section-subtitle\">\n                Real AI decision making software runs models <strong>against each other<\/strong> inside one conversation, with shared context, automatic conflict surfacing, and a per-model audit trail. That is the line between four chat transcripts and one decision you can defend. For a head-to-head read, start with our <a href=\"\/hub\/comparison\/chathub-alternative\/\" style=\"color:#a78bfa;\">ChatHub alternative comparison<\/a>.\n            <\/p>\n\n            <div class=\"comparison-table\">\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Capability<\/div>\n                    <div class=\"comparison-value\">Typical AI Decision Tool<\/div>\n                    <div class=\"comparison-value\">Suprmind<\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Model access<\/div>\n                    <div class=\"comparison-value\">Multiple models in a dropdown<\/div>\n                    <div class=\"comparison-value\"><strong>Multiple models in the same conversation<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Context sharing<\/div>\n                    <div class=\"comparison-value\">Each chat starts from zero<\/div>\n                    <div class=\"comparison-value\"><strong>Full shared thread across all AIs<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">How models interact<\/div>\n                    <div class=\"comparison-value\">They don&#8217;t. You run parallel prompts<\/div>\n                    <div class=\"comparison-value\"><strong>Each AI reads every previous response<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Agreement signal<\/div>\n                    <div class=\"comparison-value\">You eyeball four tabs<\/div>\n                    <div class=\"comparison-value\"><strong>Convergence and dissent scored per turn<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Disagreement<\/div>\n                    <div class=\"comparison-value\">Hidden across separate tabs<\/div>\n                    <div class=\"comparison-value\"><strong>Surfaced, tracked, indexed<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Hallucination catching<\/div>\n                    <div class=\"comparison-value\">No cross-checking<\/div>\n                    <div class=\"comparison-value\"><strong>Built in. The next AI flags the last one<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Synthesis<\/div>\n                    <div class=\"comparison-value\">You reconcile manually<\/div>\n                    <div class=\"comparison-value\"><strong>Automatic with conflict highlighting<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Decision output<\/div>\n                    <div class=\"comparison-value\">Five chat transcripts<\/div>\n                    <div class=\"comparison-value\"><strong>One professional document, 25+ templates<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Orchestration modes<\/div>\n                    <div class=\"comparison-value\">None. Chat only<\/div>\n                    <div class=\"comparison-value\"><strong>Six modes for different decision types<\/strong><\/div>\n                <\/div>\n                <div class=\"comparison-row\">\n                    <div class=\"comparison-feature\">Auditability<\/div>\n                    <div class=\"comparison-value\">Five separate logs<\/div>\n                    <div class=\"comparison-value\"><strong>One audited decision trail, explainable per model<\/strong><\/div>\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/section>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 8: HOW IT WORKS (modes) -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 100px 48px;\">\n        <div style=\"max-width: 1200px; margin: 0 auto; text-align: center;\">\n            <div class=\"section-label\">How It Works<\/div>\n            <h2>How multi-model AI decision support <br>actually works.<\/h2>\n            <p style=\"font-size: 19px; color: #9ca3af; max-width: 820px; margin: 24px auto 60px;\">\n                You pick the structure based on what you are trying to survive. Need a fast sanity check before a call in ten minutes? Different shape than a pre-mortem on a purchase you cannot undo. Suprmind runs both patterns in the same thread, and you switch between them mid-conversation without re-explaining anything.\n            <\/p>\n\n\n<section class=\"sm-section sm-section--dark sm-modes-section\">\n  <div class=\"sm-section__inner\">\n                <p style=\"font-size: 18px; line-height: 1.8; color: rgba(255,255,255,0.9); margin: 0;\">\n                    Start in Sequential to build the case. <br>\n                    Switch to Super Mind for a fast consensus read. <br>\n                    Pivot to Debate to stress-test it. Red Team it before you commit. <br>\n                    <span style=\"color: rgba(255,255,255,0.6);\">The context persists across every mode switch. The models don&#8217;t forget.<\/span>\n                <\/p>\n    <!-- Shared arrow marker (referenced by all flow SVGs below) -->\n    <svg width=\"0\" height=\"0\" aria-hidden=\"true\" style=\"position:absolute;width:0;height:0;\">\n      <defs>\n        <marker id=\"sm-modes-arrow\" viewBox=\"0 0 10 10\" refX=\"8\" refY=\"5\" markerWidth=\"6\" markerHeight=\"6\" orient=\"auto\">\n          <path d=\"M0 0 L10 5 L0 10 z\" fill=\"#A1A1AA\"\/>\n        <\/marker>\n      <\/defs>\n    <\/svg>\n\n    <div class=\"sm-modes__shell\" data-sm-modes>\n      <!-- Tab list -->\n      <div class=\"sm-modes__tablist\" role=\"tablist\" aria-label=\"Six ways to pressure-test a decision\">\n        <button class=\"sm-modes__tab is-active\" type=\"button\" role=\"tab\" data-sm-modes-tab=\"0\" aria-selected=\"true\">\n          <span class=\"sm-modes__tab-icon\">\n            <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M6 4l6 6 6-6M6 11l6 6 6-6\"\/><\/svg>\n          <\/span>\n          <span class=\"sm-modes__tab-name\">Sequential<\/span>\n          <span class=\"sm-modes__badge\">Default<\/span>\n        <\/button>\n        <button class=\"sm-modes__tab\" type=\"button\" role=\"tab\" data-sm-modes-tab=\"1\" aria-selected=\"false\">\n          <span class=\"sm-modes__tab-icon\">\n            <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect width=\"6\" height=\"6\" x=\"16\" y=\"16\" rx=\"1\"\/><rect width=\"6\" height=\"6\" x=\"2\" y=\"16\" rx=\"1\"\/><rect width=\"6\" height=\"6\" x=\"9\" y=\"2\" rx=\"1\"\/><path d=\"M5 16v-3a1 1 0 0 1 1-1h12a1 1 0 0 1 1 1v3m-7-4V8\"\/><\/svg>\n          <\/span>\n          <span class=\"sm-modes__tab-name\">Super Mind<\/span>\n          <span class=\"sm-modes__badge\">Fastest<\/span>\n        <\/button>\n        <button class=\"sm-modes__tab\" type=\"button\" role=\"tab\" data-sm-modes-tab=\"2\" aria-selected=\"false\">\n          <span class=\"sm-modes__tab-icon\">\n            <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M3 6.5A1.5 1.5 0 0 1 4.5 5H13a1.5 1.5 0 0 1 1.5 1.5V11A1.5 1.5 0 0 1 13 12.5H7l-4 3z\"\/><path d=\"M9.5 16.5h7l4 3v-9A1.5 1.5 0 0 0 19 9h-1\"\/><\/svg>\n          <\/span>\n          <span class=\"sm-modes__tab-name\">Debate<\/span>\n          <span class=\"sm-modes__badge\">Pro+<\/span>\n        <\/button>\n        <button class=\"sm-modes__tab\" type=\"button\" role=\"tab\" data-sm-modes-tab=\"3\" aria-selected=\"false\">\n          <span class=\"sm-modes__tab-icon\">\n            <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14.5 17.5L3 6V3h3l11.5 11.5M13 19l6-6m-3 3l4 4m-1 1l2-2M14.5 6.5L18 3h3v3l-3.5 3.5M5 14l4 4m-2-1l-3 3m-1-1l2 2\"\/><\/svg>\n          <\/span>\n          <span class=\"sm-modes__tab-name\">Red Team<\/span>\n          <span class=\"sm-modes__badge\">Pro+<\/span>\n        <\/button>\n        <button class=\"sm-modes__tab\" type=\"button\" role=\"tab\" data-sm-modes-tab=\"4\" aria-selected=\"false\">\n          <span class=\"sm-modes__tab-icon\">\n            <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M6 18h8M3 22h18m-7 0a7 7 0 1 0 0-14h-1m-4 6h2m-2-2a2 2 0 0 1-2-2V6h6v4a2 2 0 0 1-2 2Zm3-6V3a1 1 0 0 0-1-1H9a1 1 0 0 0-1 1v3\"\/><\/svg>\n          <\/span>\n          <span class=\"sm-modes__tab-name\">Research Symphony<\/span>\n          <span class=\"sm-modes__badge\">Enterprise<\/span>\n        <\/button>\n        <button class=\"sm-modes__tab\" type=\"button\" role=\"tab\" data-sm-modes-tab=\"5\" aria-selected=\"false\">\n          <span class=\"sm-modes__tab-icon\">\n            <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"1\"\/><path d=\"M20.2 20.2c2.04-2.03.02-7.36-4.5-11.9c-4.54-4.52-9.87-6.54-11.9-4.5c-2.04 2.03-.02 7.36 4.5 11.9c4.54 4.52 9.87 6.54 11.9 4.5\"\/><path d=\"M15.7 15.7c4.52-4.54 6.54-9.87 4.5-11.9c-2.03-2.04-7.36-.02-11.9 4.5c-4.52 4.54-6.54 9.87-4.5 11.9c2.03 2.04 7.36.02 11.9-4.5\"\/><\/svg>\n          <\/span>\n          <span class=\"sm-modes__tab-name\">First Principles<\/span>\n          <span class=\"sm-modes__badge\">Pro+<\/span>\n        <\/button>\n      <\/div>\n\n      <!-- Panels (only the active one is displayed) -->\n\n      <!-- 0 - Sequential -->\n      <div class=\"sm-modes__panel is-active\" role=\"tabpanel\" data-sm-modes-panel=\"0\">\n        <div class=\"sm-modes__panel-head\">\n          <span class=\"sm-modes__panel-avatar\">\n            <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M6 4l6 6 6-6M6 11l6 6 6-6\"\/><\/svg>\n          <\/span>\n          <div class=\"sm-modes__panel-title-row\">\n            <h3 class=\"sm-modes__panel-title\">Sequential<\/h3>\n            <span class=\"sm-modes__badge\">Default<\/span>\n          <\/div>\n        <\/div>\n        <p class=\"sm-modes__panel-oneliner\">AIs respond one after another. Each reads everything before it and adds reasoning, critique, or new information. The default and the deepest. You set the order.<\/p>\n        <div class=\"sm-modes__panel-bestfor\">\n          <p class=\"sm-modes__panel-bestfor-label\">Best for:<\/p>\n          <p class=\"sm-modes__panel-bestfor-value\">Complex analysis, research, architecture decisions<\/p>\n        <\/div>\n        <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/modes\/sequential-mode\">Learn more <span aria-hidden=\"true\">\u2192<\/span><\/a>\n        <div class=\"sm-modes__flow\">\n          <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Sequential orchestration flow\">\n            <circle cx=\"30\" cy=\"40\" r=\"10\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.2)\"\/>\n            <text x=\"30\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#71717A\">You<\/text>\n            <circle cx=\"70\" cy=\"40\" r=\"9\" fill=\"#10A37F22\" stroke=\"#10A37F66\"\/>\n            <line x1=\"80\" y1=\"40\" x2=\"120\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"130\" cy=\"40\" r=\"9\" fill=\"#D9775722\" stroke=\"#D9775766\"\/>\n            <line x1=\"140\" y1=\"40\" x2=\"180\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"190\" cy=\"40\" r=\"9\" fill=\"#4285F422\" stroke=\"#4285F466\"\/>\n            <line x1=\"200\" y1=\"40\" x2=\"240\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"250\" cy=\"40\" r=\"9\" fill=\"#E11D4822\" stroke=\"#E11D4866\"\/>\n            <line x1=\"260\" y1=\"40\" x2=\"300\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"310\" cy=\"40\" r=\"9\" fill=\"#22D3EE22\" stroke=\"#22D3EE66\"\/>\n            <line x1=\"319\" y1=\"40\" x2=\"380\" y2=\"40\" stroke=\"#3F3F46\"\/>\n            <rect x=\"380\" y=\"32\" width=\"20\" height=\"16\" rx=\"3\" fill=\"rgba(168,85,247,0.10)\" stroke=\"rgba(168,85,247,0.4)\"\/>\n            <text x=\"390\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#c4b5fd\">Doc<\/text>\n          <\/svg>\n        <\/div>\n      <\/div>\n\n      <!-- 1 - Super Mind -->\n      <div class=\"sm-modes__panel\" role=\"tabpanel\" data-sm-modes-panel=\"1\">\n        <div class=\"sm-modes__panel-head\">\n          <span class=\"sm-modes__panel-avatar\">\n            <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><rect width=\"6\" height=\"6\" x=\"16\" y=\"16\" rx=\"1\"\/><rect width=\"6\" height=\"6\" x=\"2\" y=\"16\" rx=\"1\"\/><rect width=\"6\" height=\"6\" x=\"9\" y=\"2\" rx=\"1\"\/><path d=\"M5 16v-3a1 1 0 0 1 1-1h12a1 1 0 0 1 1 1v3m-7-4V8\"\/><\/svg>\n          <\/span>\n          <div class=\"sm-modes__panel-title-row\">\n            <h3 class=\"sm-modes__panel-title\">Super Mind<\/h3>\n            <span class=\"sm-modes__badge\">Fastest<\/span>\n          <\/div>\n        <\/div>\n        <p class=\"sm-modes__panel-oneliner\">All five respond at once. A synthesis engine merges them into one unified answer with consensus and divergence mapped, streamed live.<\/p>\n        <div class=\"sm-modes__panel-bestfor\">\n          <p class=\"sm-modes__panel-bestfor-label\">Best for:<\/p>\n          <p class=\"sm-modes__panel-bestfor-value\">Quick decisions, fact verification, time-sensitive calls<\/p>\n        <\/div>\n        <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/modes\/super-mind\">Learn more <span aria-hidden=\"true\">\u2192<\/span><\/a>\n        <div class=\"sm-modes__flow\">\n          <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Super Mind orchestration flow\">\n            <circle cx=\"30\" cy=\"40\" r=\"10\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.2)\"\/>\n            <text x=\"30\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#71717A\">You<\/text>\n            <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"15\" stroke=\"#3F3F46\"\/>\n            <circle cx=\"200\" cy=\"15\" r=\"7\" fill=\"#10A37F22\" stroke=\"#10A37F66\"\/>\n            <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"28\" stroke=\"#3F3F46\"\/>\n            <circle cx=\"200\" cy=\"28\" r=\"7\" fill=\"#D9775722\" stroke=\"#D9775766\"\/>\n            <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"41\" stroke=\"#3F3F46\"\/>\n            <circle cx=\"200\" cy=\"41\" r=\"7\" fill=\"#4285F422\" stroke=\"#4285F466\"\/>\n            <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"54\" stroke=\"#3F3F46\"\/>\n            <circle cx=\"200\" cy=\"54\" r=\"7\" fill=\"#E11D4822\" stroke=\"#E11D4866\"\/>\n            <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"67\" stroke=\"#3F3F46\"\/>\n            <circle cx=\"200\" cy=\"67\" r=\"7\" fill=\"#22D3EE22\" stroke=\"#22D3EE66\"\/>\n            <line x1=\"212\" y1=\"40\" x2=\"350\" y2=\"40\" stroke=\"#3F3F46\"\/>\n            <rect x=\"350\" y=\"32\" width=\"20\" height=\"16\" rx=\"3\" fill=\"rgba(168,85,247,0.10)\" stroke=\"rgba(168,85,247,0.4)\"\/>\n            <text x=\"360\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#c4b5fd\">Doc<\/text>\n          <\/svg>\n        <\/div>\n      <\/div>\n\n      <!-- 2 - Debate -->\n      <div class=\"sm-modes__panel\" role=\"tabpanel\" data-sm-modes-panel=\"2\">\n        <div class=\"sm-modes__panel-head\">\n          <span class=\"sm-modes__panel-avatar\">\n            <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M3 6.5A1.5 1.5 0 0 1 4.5 5H13a1.5 1.5 0 0 1 1.5 1.5V11A1.5 1.5 0 0 1 13 12.5H7l-4 3z\"\/><path d=\"M9.5 16.5h7l4 3v-9A1.5 1.5 0 0 0 19 9h-1\"\/><\/svg>\n          <\/span>\n          <div class=\"sm-modes__panel-title-row\">\n            <h3 class=\"sm-modes__panel-title\">Debate<\/h3>\n            <span class=\"sm-modes__badge\">Pro+<\/span>\n          <\/div>\n        <\/div>\n        <p class=\"sm-modes__panel-oneliner\">Three structured turns: opening statements, direct rebuttals, then a dedicated moderator that never debated writes the verdict. A Bridge-Builder persona finds common ground. Minority opinions survive even a 4-to-1 split.<\/p>\n        <div class=\"sm-modes__panel-bestfor\">\n          <p class=\"sm-modes__panel-bestfor-label\">Best for:<\/p>\n          <p class=\"sm-modes__panel-bestfor-value\">Strategy validation, thesis stress-testing<\/p>\n        <\/div>\n        <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/modes\/super-mind-debate-modes\">Learn more <span aria-hidden=\"true\">\u2192<\/span><\/a>\n        <div class=\"sm-modes__flow\">\n          <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Debate orchestration flow\">\n            <circle cx=\"30\" cy=\"40\" r=\"10\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.2)\"\/>\n            <text x=\"30\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#71717A\">You<\/text>\n            <circle cx=\"70\" cy=\"40\" r=\"9\" fill=\"#10A37F22\" stroke=\"#10A37F66\"\/>\n            <line x1=\"80\" y1=\"40\" x2=\"120\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"130\" cy=\"40\" r=\"9\" fill=\"#D9775722\" stroke=\"#D9775766\"\/>\n            <line x1=\"140\" y1=\"40\" x2=\"180\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"190\" cy=\"40\" r=\"9\" fill=\"#4285F422\" stroke=\"#4285F466\"\/>\n            <line x1=\"200\" y1=\"40\" x2=\"240\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"250\" cy=\"40\" r=\"9\" fill=\"#E11D4822\" stroke=\"#E11D4866\"\/>\n            <line x1=\"260\" y1=\"40\" x2=\"300\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"310\" cy=\"40\" r=\"9\" fill=\"#22D3EE22\" stroke=\"#22D3EE66\"\/>\n            <text x=\"344\" y=\"44\" text-anchor=\"middle\" font-size=\"14\" font-weight=\"600\" fill=\"#c4b5fd\">\u00d73<\/text>\n            <line x1=\"358\" y1=\"40\" x2=\"380\" y2=\"40\" stroke=\"#3F3F46\"\/>\n            <rect x=\"380\" y=\"32\" width=\"20\" height=\"16\" rx=\"3\" fill=\"rgba(168,85,247,0.10)\" stroke=\"rgba(168,85,247,0.4)\"\/>\n            <text x=\"390\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#c4b5fd\">Doc<\/text>\n          <\/svg>\n        <\/div>\n      <\/div>\n\n      <!-- 3 - Red Team -->\n      <div class=\"sm-modes__panel\" role=\"tabpanel\" data-sm-modes-panel=\"3\">\n        <div class=\"sm-modes__panel-head\">\n          <span class=\"sm-modes__panel-avatar\">\n            <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14.5 17.5L3 6V3h3l11.5 11.5M13 19l6-6m-3 3l4 4m-1 1l2-2M14.5 6.5L18 3h3v3l-3.5 3.5M5 14l4 4m-2-1l-3 3m-1-1l2 2\"\/><\/svg>\n          <\/span>\n          <div class=\"sm-modes__panel-title-row\">\n            <h3 class=\"sm-modes__panel-title\">Red Team<\/h3>\n            <span class=\"sm-modes__badge\">Pro+<\/span>\n          <\/div>\n        <\/div>\n        <p class=\"sm-modes__panel-oneliner\">Five AIs attack your plan across six vectors: financial, technical, reputational, regulatory, operational, and edge cases. Findings compile into an exportable risk dossier with a mitigation pass.<\/p>\n        <div class=\"sm-modes__panel-bestfor\">\n          <p class=\"sm-modes__panel-bestfor-label\">Best for:<\/p>\n          <p class=\"sm-modes__panel-bestfor-value\">Pre-launch validation, due diligence, investment pre-mortems<\/p>\n        <\/div>\n        <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/modes\/red-team-mode\">Learn more <span aria-hidden=\"true\">\u2192<\/span><\/a>\n        <div class=\"sm-modes__flow\">\n          <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Red Team orchestration flow\">\n            <circle cx=\"30\" cy=\"40\" r=\"10\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.2)\"\/>\n            <text x=\"30\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#71717A\">You<\/text>\n            <circle cx=\"70\" cy=\"40\" r=\"9\" fill=\"#10A37F22\" stroke=\"#10A37F66\"\/>\n            <line x1=\"80\" y1=\"40\" x2=\"120\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"130\" cy=\"40\" r=\"9\" fill=\"#D9775722\" stroke=\"#D9775766\"\/>\n            <line x1=\"140\" y1=\"40\" x2=\"180\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"190\" cy=\"40\" r=\"9\" fill=\"#4285F422\" stroke=\"#4285F466\"\/>\n            <line x1=\"200\" y1=\"40\" x2=\"240\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"250\" cy=\"40\" r=\"9\" fill=\"#E11D4822\" stroke=\"#E11D4866\"\/>\n            <line x1=\"260\" y1=\"40\" x2=\"300\" y2=\"40\" stroke=\"#A1A1AA\" stroke-dasharray=\"3 3\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"310\" cy=\"40\" r=\"9\" fill=\"#22D3EE22\" stroke=\"#22D3EE66\"\/>\n            <line x1=\"319\" y1=\"40\" x2=\"380\" y2=\"40\" stroke=\"#3F3F46\"\/>\n            <rect x=\"380\" y=\"32\" width=\"20\" height=\"16\" rx=\"3\" fill=\"rgba(168,85,247,0.10)\" stroke=\"rgba(168,85,247,0.4)\"\/>\n            <text x=\"390\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#c4b5fd\">Doc<\/text>\n          <\/svg>\n        <\/div>\n      <\/div>\n\n      <!-- 4 - Research Symphony -->\n      <div class=\"sm-modes__panel\" role=\"tabpanel\" data-sm-modes-panel=\"4\">\n        <div class=\"sm-modes__panel-head\">\n          <span class=\"sm-modes__panel-avatar\">\n            <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M6 18h8M3 22h18m-7 0a7 7 0 1 0 0-14h-1m-4 6h2m-2-2a2 2 0 0 1-2-2V6h6v4a2 2 0 0 1-2 2Zm3-6V3a1 1 0 0 0-1-1H9a1 1 0 0 0-1 1v3\"\/><\/svg>\n          <\/span>\n          <div class=\"sm-modes__panel-title-row\">\n            <h3 class=\"sm-modes__panel-title\">Research Symphony<\/h3>\n            <span class=\"sm-modes__badge\">Enterprise<\/span>\n          <\/div>\n        <\/div>\n        <p class=\"sm-modes__panel-oneliner\">A five-stage pipeline: retrieval, analysis, fact-check, challenge, synthesis. Produces 10,000+ word fully cited reports and runs 15 to 30 minutes in the background.<\/p>\n        <div class=\"sm-modes__panel-bestfor\">\n          <p class=\"sm-modes__panel-bestfor-label\">Best for:<\/p>\n          <p class=\"sm-modes__panel-bestfor-value\">Market research, literature reviews, technical due diligence<\/p>\n        <\/div>\n        <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/modes\/research-symphony\">Learn more <span aria-hidden=\"true\">\u2192<\/span><\/a>\n        <div class=\"sm-modes__flow\">\n          <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"Research Symphony orchestration flow\">\n            <circle cx=\"30\" cy=\"40\" r=\"10\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.2)\"\/>\n            <text x=\"30\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#71717A\">You<\/text>\n            <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"15\" stroke=\"#3F3F46\"\/>\n            <circle cx=\"200\" cy=\"15\" r=\"7\" fill=\"#10A37F22\" stroke=\"#10A37F66\"\/>\n            <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"28\" stroke=\"#3F3F46\"\/>\n            <circle cx=\"200\" cy=\"28\" r=\"7\" fill=\"#D9775722\" stroke=\"#D9775766\"\/>\n            <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"41\" stroke=\"#3F3F46\"\/>\n            <circle cx=\"200\" cy=\"41\" r=\"7\" fill=\"#4285F422\" stroke=\"#4285F466\"\/>\n            <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"54\" stroke=\"#3F3F46\"\/>\n            <circle cx=\"200\" cy=\"54\" r=\"7\" fill=\"#E11D4822\" stroke=\"#E11D4866\"\/>\n            <line x1=\"46\" y1=\"40\" x2=\"188\" y2=\"67\" stroke=\"#3F3F46\"\/>\n            <circle cx=\"200\" cy=\"67\" r=\"7\" fill=\"#22D3EE22\" stroke=\"#22D3EE66\"\/>\n            <line x1=\"212\" y1=\"40\" x2=\"350\" y2=\"40\" stroke=\"#3F3F46\"\/>\n            <rect x=\"350\" y=\"32\" width=\"20\" height=\"16\" rx=\"3\" fill=\"rgba(168,85,247,0.10)\" stroke=\"rgba(168,85,247,0.4)\"\/>\n            <text x=\"360\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#c4b5fd\">Doc<\/text>\n          <\/svg>\n        <\/div>\n      <\/div>\n\n      <!-- 5 - First Principles -->\n      <div class=\"sm-modes__panel\" role=\"tabpanel\" data-sm-modes-panel=\"5\">\n        <div class=\"sm-modes__panel-head\">\n          <span class=\"sm-modes__panel-avatar\">\n            <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"1\"\/><path d=\"M20.2 20.2c2.04-2.03.02-7.36-4.5-11.9c-4.54-4.52-9.87-6.54-11.9-4.5c-2.04 2.03-.02 7.36 4.5 11.9c4.54 4.52 9.87 6.54 11.9 4.5\"\/><path d=\"M15.7 15.7c4.52-4.54 6.54-9.87 4.5-11.9c-2.03-2.04-7.36-.02-11.9 4.5c-4.52 4.54-6.54 9.87-4.5 11.9c2.03 2.04 7.36.02 11.9-4.5\"\/><\/svg>\n          <\/span>\n          <div class=\"sm-modes__panel-title-row\">\n            <h3 class=\"sm-modes__panel-title\">First Principles<\/h3>\n            <span class=\"sm-modes__badge\">Pro+<\/span>\n          <\/div>\n        <\/div>\n        <p class=\"sm-modes__panel-oneliner\">Strips a question to its fundamentals. Each model names its assumptions, identifies the underlying axioms, then rebuilds the analysis from the ground up.<\/p>\n        <div class=\"sm-modes__panel-bestfor\">\n          <p class=\"sm-modes__panel-bestfor-label\">Best for:<\/p>\n          <p class=\"sm-modes__panel-bestfor-value\">Highest-stakes decisions where convention is suspect<\/p>\n        <\/div>\n        <a class=\"sm-modes__panel-learn\" href=\"https:\/\/suprmind.ai\/hub\/modes\/\">Learn more <span aria-hidden=\"true\">\u2192<\/span><\/a>\n        <div class=\"sm-modes__flow\">\n          <svg viewBox=\"0 0 400 80\" role=\"img\" aria-label=\"First Principles orchestration flow\">\n            <circle cx=\"30\" cy=\"40\" r=\"10\" fill=\"rgba(255,255,255,0.06)\" stroke=\"rgba(255,255,255,0.2)\"\/>\n            <text x=\"30\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#71717A\">You<\/text>\n            <circle cx=\"70\" cy=\"40\" r=\"9\" fill=\"#10A37F22\" stroke=\"#10A37F66\"\/>\n            <line x1=\"80\" y1=\"40\" x2=\"120\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"130\" cy=\"40\" r=\"9\" fill=\"#D9775722\" stroke=\"#D9775766\"\/>\n            <line x1=\"140\" y1=\"40\" x2=\"180\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"190\" cy=\"40\" r=\"9\" fill=\"#4285F422\" stroke=\"#4285F466\"\/>\n            <line x1=\"200\" y1=\"40\" x2=\"240\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"250\" cy=\"40\" r=\"9\" fill=\"#E11D4822\" stroke=\"#E11D4866\"\/>\n            <line x1=\"260\" y1=\"40\" x2=\"300\" y2=\"40\" stroke=\"#3F3F46\" marker-end=\"url(#sm-modes-arrow)\"\/>\n            <circle cx=\"310\" cy=\"40\" r=\"9\" fill=\"#22D3EE22\" stroke=\"#22D3EE66\"\/>\n            <line x1=\"319\" y1=\"40\" x2=\"380\" y2=\"40\" stroke=\"#3F3F46\"\/>\n            <rect x=\"380\" y=\"32\" width=\"20\" height=\"16\" rx=\"3\" fill=\"rgba(168,85,247,0.10)\" stroke=\"rgba(168,85,247,0.4)\"\/>\n            <text x=\"390\" y=\"64\" text-anchor=\"middle\" font-size=\"9\" fill=\"#c4b5fd\">Doc<\/text>\n          <\/svg>\n        <\/div>\n      <\/div>\n    <\/div>\n\n    <p class=\"sm-modes__footnote\">\n      Sequential, Debate, Red Team, and First Principles all use sequential orchestration, so each AI builds on what came before. Super Mind runs all five at once with a synthesis layer on top. Chain any combination mid-conversation. Target a single model in any mode with @claude, @gpt, and the rest.\n    <\/p>\n  <\/div>\n<\/section>\n\n<!-- Tab switching lives in suprmind-components.js (load once per page). -->\n\n\n\n            <!-- Two orchestration patterns side by side -->\n            <div style=\"display: flex; flex-wrap: wrap; gap: 24px; margin-bottom: 48px;\">\n                <div style=\"flex: 1 1 320px; min-width: 300px; padding: 40px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box; text-align: left;\">\n                    <h4 style=\"font-size: 22px; margin: 0 0 8px 0; font-weight: 600;\">All at once<\/h4>\n                    <p style=\"font-size: 16px; color: #9ca3af; margin: 0 0 20px 0;\">Super Mind<\/p>\n                    <p style=\"font-size: 17px; line-height: 1.7; margin: 0 0 20px 0;\">\n                        All five AIs answer simultaneously. A synthesis engine reads every response and merges them into one unified answer, with consensus mapped and divergence flagged.\n                    <\/p>\n                    <p style=\"font-size: 17px; line-height: 1.7; margin: 0;\">\n                        Use it when you need a fast cross-model check. Fact verification, decision sanity-checks, compressed research.\n                    <\/p>\n                <\/div>\n                <div style=\"flex: 1 1 320px; min-width: 300px; padding: 40px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box; text-align: left;\">\n                    <h4 style=\"font-size: 22px; margin: 0 0 8px 0; font-weight: 600;\">One after another<\/h4>\n                    <p style=\"font-size: 16px; color: #9ca3af; margin: 0 0 20px 0;\">Sequential and the deeper modes<\/p>\n                    <p style=\"font-size: 17px; line-height: 1.7; margin: 0;\">\n                        Each AI reads every response before it, then adds to the thread. Grok surfaces live context. Perplexity grounds it in sourced research. Claude pressure-tests the reasoning. GPT structures the argument. Gemini synthesizes the full chain. Every response is shaped by the one before it, which is why sequential orchestration produces compounding intelligence instead of five copies of the same answer. You set the running order in Settings.\n                    <\/p>\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/section>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 9: DECISION INTELLIGENCE LAYER -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 40px 48px 100px;\">\n        <div style=\"max-width: 1200px; margin: 0 auto;\">\n            <div style=\"text-align: center; margin-bottom: 20px;\">\n                <div class=\"section-label\">Decision Intelligence Layer<\/div>\n                <h2>Consensus you can see. <br>Disagreement you can act on.<\/h2>\n                <p style=\"font-size: 19px; color: #9ca3af; max-width: 820px; margin: 24px auto 60px;\">\n                    A conversation is not a decision, and nobody in your next meeting wants to read a transcript. Three components turn the thread into something you can hand over, attach to a deck, and still defend six months later when the outcome is known.\n                <\/p>\n            <\/div>\n\n            <div style=\"display: flex; flex-wrap: wrap; gap: 24px; margin-bottom: 24px;\">\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <h3 style=\"font-size: 20px; margin: 0 0 6px 0; font-weight: 600;\">DCI<\/h3>\n                    <p style=\"font-size: 14px; color: #a78bfa; margin: 0 0 16px 0; letter-spacing: 0.02em;\">Disagreement\/Correction Index<\/p>\n                    <p style=\"font-size: 16px; line-height: 1.7; margin: 0;\">\n                        Surfaces divergence automatically. The moment two models contradict each other, a card drops in below the message bubbles showing what split and where. A sidebar tab keeps per-turn and session totals so you can see whether this conversation ran hot or landed clean.\n                    <\/p>\n                <\/div>\n\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <h3 style=\"font-size: 20px; margin: 0 0 6px 0; font-weight: 600;\"><a href=\"\/hub\/adjudicator\/\" style=\"color: #fafafa; text-decoration: none;\">Adjudicator<\/a><\/h3>\n                    <p style=\"font-size: 14px; color: #a78bfa; margin: 0 0 16px 0; letter-spacing: 0.02em;\">Settles it on demand<\/p>\n                    <p style=\"font-size: 16px; line-height: 1.7; margin: 0;\">\n                        You pick a disagreement DCI flagged and ask for a ruling. The Adjudicator generates a structured decision brief: context analysis, a recommendation, and a confidence assessment, streamed as it builds. It needs DCI to work, because it settles what DCI surfaced.\n                    <\/p>\n                <\/div>\n\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <h3 style=\"font-size: 20px; margin: 0 0 6px 0; font-weight: 600;\">Decision Validation Engine<\/h3>\n                    <p style=\"font-size: 14px; color: #a78bfa; margin: 0 0 16px 0; letter-spacing: 0.02em;\">Six stages, before you commit<\/p>\n                    <p style=\"font-size: 16px; line-height: 1.7; margin: 0;\">\n                        Intake, Clarify, Red Team with an FMEA-style risk register, Debate with a contention map, Synthesis returning GO, NO-GO, or GO with conditions, and a generated decision dossier. Built for the calls where being wrong is expensive.\n                    <\/p>\n                <\/div>\n            <\/div>\n\n            <div style=\"display: flex; flex-wrap: wrap; gap: 24px;\">\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <h3 style=\"font-size: 20px; margin: 0 0 16px 0; font-weight: 600;\"><a href=\"\/hub\/features\/master-document-generator\/\" style=\"color: #fafafa; text-decoration: none;\">Master Document Generator<\/a><\/h3>\n                    <p style=\"font-size: 16px; line-height: 1.7; margin: 0;\">\n                        Two clicks turn the full thread into a board-ready deliverable. 25+ templates covering executive briefs, competitive analyses, strategy memos, risk assessments, research papers, and board reports. PDF and DOCX export with charts embedded inline. You choose which AI writes it.\n                    <\/p>\n                <\/div>\n\n                <div style=\"flex: 1 1 300px; min-width: 280px; padding: 36px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <h3 style=\"font-size: 20px; margin: 0 0 16px 0; font-weight: 600;\">Scribe<\/h3>\n                    <p style=\"font-size: 16px; line-height: 1.7; margin: 0;\">\n                        Every decision, constraint, assumption, risk, and action item captured as the conversation happens, each entry tagged with how much the models agreed. It feeds a project master document that maintains itself in the background. No generate button.\n                    <\/p>\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/section>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 10: USE CASES -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <div class=\"section-label\" style=\"text-align: center;\">Use Cases<\/div>\n    <h2 style=\"text-align: center;\">Built for AI decision making where being wrong <br>costs real money.<\/h2>\n\n    \n    <section class=\"sm-section sm-section--dark sm-usecases-section\">\n      <div class=\"sm-section__inner\">\n        <div class=\"sm-usecases__heading\">\n          <p class=\"sm-usecases__eyebrow\">Use Cases<\/p>\n          <h2 class=\"sm-usecases__header\">Four jobs, four shipped artifacts.<\/h2>\n          <p class=\"sm-usecases__sub\">Every output is a real document you can export, sign, and send.<\/p>\n        <\/div>\n\n        <div class=\"sm-usecases__tabs\" role=\"tablist\" data-sm-usecases>\n          <button class=\"sm-usecases__tab is-active\" type=\"button\" role=\"tab\" data-sm-usecases-tab=\"0\" aria-selected=\"true\">\n            <span class=\"sm-usecases__tab-icon\">\n              <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M16 7V5a2 2 0 0 0-2-2h-4a2 2 0 0 0-2 2v2\"\/><rect x=\"2\" y=\"7\" width=\"20\" height=\"13\" rx=\"2\"\/><\/svg>\n            <\/span>\n            Strategy Consultants\n          <\/button>\n          <button class=\"sm-usecases__tab\" type=\"button\" role=\"tab\" data-sm-usecases-tab=\"1\" aria-selected=\"false\">\n            <span class=\"sm-usecases__tab-icon\">\n              <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M9 18h6m-5 3h4M12 2a6 6 0 0 0-3 11.2c.7.5 1 1 1 2v.8h4v-.8c0-1 .3-1.5 1-2A6 6 0 0 0 12 2z\"\/><\/svg>\n            <\/span>\n            Founders &amp; Operators\n          <\/button>\n          <button class=\"sm-usecases__tab\" type=\"button\" role=\"tab\" data-sm-usecases-tab=\"2\" aria-selected=\"false\">\n            <span class=\"sm-usecases__tab-icon\">\n              <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"1\"\/><ellipse cx=\"12\" cy=\"12\" rx=\"10\" ry=\"4.5\"\/><ellipse cx=\"12\" cy=\"12\" rx=\"10\" ry=\"4.5\" transform=\"rotate(60 12 12)\"\/><ellipse cx=\"12\" cy=\"12\" rx=\"10\" ry=\"4.5\" transform=\"rotate(120 12 12)\"\/><\/svg>\n            <\/span>\n            AI Power Users\n          <\/button>\n          <button class=\"sm-usecases__tab\" type=\"button\" role=\"tab\" data-sm-usecases-tab=\"3\" aria-selected=\"false\">\n            <span class=\"sm-usecases__tab-icon\">\n              <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><line x1=\"4\" y1=\"20\" x2=\"20\" y2=\"20\"\/><rect x=\"5\" y=\"11\" width=\"3\" height=\"8\"\/><rect x=\"11\" y=\"6\" width=\"3\" height=\"13\"\/><rect x=\"17\" y=\"14\" width=\"3\" height=\"5\"\/><\/svg>\n            <\/span>\n            Investment Analysts\n          <\/button>\n        <\/div>\n\n        <!-- Panel 0 - Strategy Consultants -->\n        <div class=\"sm-usecases__panel is-active\" role=\"tabpanel\" data-sm-usecases-panel=\"0\">\n          <div class=\"sm-usecases__copy\">\n            <p class=\"sm-usecases__persona\">Strategy Consultants<\/p>\n            <h3 class=\"sm-usecases__title\">M&amp;A pre-mortem in 90 minutes<\/h3>\n            <p class=\"sm-usecases__body\">\n              Walk into the partner meeting with five frontier AIs already disagreeing on your behalf. Evaluating an acquisition? One model says go. Another flags three regulatory risks. A third finds a comp who tried and failed. Every fabrication caught before slides leave your laptop, and every assumption stress-tested before you commit the budget.\n            <\/p>\n            <button type=\"button\" class=\"sm-usecases__cta\">\n              See sample output\n              <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M7 17L17 7M9 7h8v8\"\/><\/svg>\n            <\/button>\n          <\/div>\n          <div class=\"sm-peek\">\n            <div class=\"sm-peek__top\">\n              <span class=\"sm-peek__eyebrow\">Master Document &#8211; preview<\/span>\n              <span class=\"sm-peek__sub\">v4 \u00b7 exported as PDF<\/span>\n            <\/div>\n            <h4 class=\"sm-peek__title\">Skybridge Acquisition &#8211; Recommendation Memo<\/h4>\n            <p class=\"sm-peek__meta\">Prepared by Suprmind \u00b7 Sequential mode \u00b7 5 models \u00b7 47 min<\/p>\n            <div class=\"sm-peek__verdict\">\n              <p class=\"sm-peek__verdict-label\">Verdict<\/p>\n              <p class=\"sm-peek__verdict-body\">Do not acquire at $42M. Revisit at $26M with NRR turnaround proof.<\/p>\n            <\/div>\n            <div class=\"sm-peek__list\">\n              <div class=\"sm-peek__list-row\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14 3v4a1 1 0 0 0 1 1h4\"\/><path d=\"M17 21H7a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7l5 5v11a2 2 0 0 1-2 2z\"\/><\/svg><span class=\"sm-peek__list-row-text\">Executive summary<\/span><\/div>\n              <div class=\"sm-peek__list-row\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14 3v4a1 1 0 0 0 1 1h4\"\/><path d=\"M17 21H7a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7l5 5v11a2 2 0 0 1-2 2z\"\/><\/svg><span class=\"sm-peek__list-row-text\">Five-model consensus matrix<\/span><\/div>\n              <div class=\"sm-peek__list-row\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14 3v4a1 1 0 0 0 1 1h4\"\/><path d=\"M17 21H7a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7l5 5v11a2 2 0 0 1-2 2z\"\/><\/svg><span class=\"sm-peek__list-row-text\">Disagreements &amp; unresolved questions<\/span><\/div>\n              <div class=\"sm-peek__list-row\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14 3v4a1 1 0 0 0 1 1h4\"\/><path d=\"M17 21H7a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7l5 5v11a2 2 0 0 1-2 2z\"\/><\/svg><span class=\"sm-peek__list-row-text\">Risk register (red team output)<\/span><\/div>\n              <div class=\"sm-peek__list-row\"><svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M14 3v4a1 1 0 0 0 1 1h4\"\/><path d=\"M17 21H7a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7l5 5v11a2 2 0 0 1-2 2z\"\/><\/svg><span class=\"sm-peek__list-row-text\">Supporting evidence &#8211; citations<\/span><\/div>\n            <\/div>\n          <\/div>\n        <\/div>\n\n        <!-- Panel 1 - Founders & Operators -->\n        <div class=\"sm-usecases__panel\" role=\"tabpanel\" data-sm-usecases-panel=\"1\">\n          <div class=\"sm-usecases__copy\">\n            <p class=\"sm-usecases__persona\">Founders &amp; Operators<\/p>\n            <h3 class=\"sm-usecases__title\">Pricing experiment, defended<\/h3>\n            <p class=\"sm-usecases__body\">\n              Test a price change before your team feels it. Red Team mode attacks the proposal from six angles: elasticity, retention curve, competitive signaling, churn risk, founder-buyer fit, and downgrade pressure, before the change ships. What you get back is not a chat transcript. It is a structured defense you can take straight into the next pricing review.\n            <\/p>\n            <button type=\"button\" class=\"sm-usecases__cta\">\n              See sample output\n              <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M7 17L17 7M9 7h8v8\"\/><\/svg>\n            <\/button>\n          <\/div>\n          <div class=\"sm-peek sm-peek--debate\">\n            <span class=\"sm-peek__eyebrow\">Debate transcript &#8211; preview<\/span>\n            <div class=\"sm-peek__debate-list\">\n              <div class=\"sm-peek__debate-row\">\n                <div class=\"sm-peek__debate-head\">\n                  <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#D97757\" aria-hidden=\"true\"><path d=\"M17.3041 3.541h-3.6718l6.696 16.918H24Zm-10.6082 0L0 20.459h3.7442l1.3693-3.5527h7.0052l1.3693 3.5528h3.7442L10.5363 3.5409Zm-.3712 10.2232 2.2914-5.9456 2.2914 5.9456Z\"\/><\/svg>\n                  <span class=\"sm-peek__debate-provider\">Claude<\/span>\n                  <span class=\"sm-peek__debate-stance\">PRO &#8211; $149<\/span>\n                <\/div>\n                <p class=\"sm-peek__debate-text\">Retention curve flattens past $99. The $50 of headroom buys you Frontier-buyer signaling.<\/p>\n              <\/div>\n              <div class=\"sm-peek__debate-row\">\n                <div class=\"sm-peek__debate-head\">\n                  <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#E11D48\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M9.27 15.29l7.978-5.897c.391-.29.95-.177 1.137.272.98 2.369.542 5.215-1.41 7.169-1.951 1.954-4.667 2.382-7.149 1.406l-2.711 1.257c3.889 2.661 8.611 2.003 11.562-.953 2.341-2.344 3.066-5.539 2.388-8.42l.006.007c-.983-4.232.242-5.924 2.75-9.383.06-.082.12-.164.179-.248l-3.301 3.305v-.01L9.267 15.292M7.623 16.723c-2.792-2.67-2.31-6.801.071-9.184 1.761-1.763 4.647-2.483 7.166-1.425l2.705-1.25a7.808 7.808 0 00-1.829-1A8.975 8.975 0 005.984 5.83c-2.533 2.536-3.33 6.436-1.962 9.764 1.022 2.487-.653 4.246-2.34 6.022-.599.63-1.199 1.259-1.682 1.925l7.62-6.815\"\/><\/svg>\n                  <span class=\"sm-peek__debate-provider\">Grok<\/span>\n                  <span class=\"sm-peek__debate-stance\">CON &#8211; $79<\/span>\n                <\/div>\n                <p class=\"sm-peek__debate-text\">Elasticity at this stage is brutal. You&#8217;ll lose 31% of conversions for ~22% revenue lift.<\/p>\n              <\/div>\n              <div class=\"sm-peek__debate-row\">\n                <div class=\"sm-peek__debate-head\">\n                  <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#22D3EE\" aria-hidden=\"true\"><path d=\"M22.3977 7.0896h-2.3106V.0676l-7.5094 6.3542V.0676L4.8011 7.0896H1.6021v9.7732h3.1991v7.0696l7.7776-6.6065v6.6065l7.5094-6.3542v6.3542H22.3978z\"\/><\/svg>\n                  <span class=\"sm-peek__debate-provider\">Perplexity<\/span>\n                  <span class=\"sm-peek__debate-stance\">CONTEXT<\/span>\n                <\/div>\n                <p class=\"sm-peek__debate-text\">2026 SaaS prosumer benchmarks: 38% of $99+ tools see &gt;40% trial-to-paid lift after price reduction.<\/p>\n              <\/div>\n            <\/div>\n          <\/div>\n        <\/div>\n\n        <!-- Panel 2 - AI Power Users -->\n        <div class=\"sm-usecases__panel\" role=\"tabpanel\" data-sm-usecases-panel=\"2\">\n          <div class=\"sm-usecases__copy\">\n            <p class=\"sm-usecases__persona\">AI Power Users<\/p>\n            <h3 class=\"sm-usecases__title\">Stop reconciling five tabs<\/h3>\n            <p class=\"sm-usecases__body\">\n              Stop pasting the same prompt across five tabs trying to spot which model is right. Suprmind keeps one shared 1M-token context across Claude, GPT, Gemini, Grok, and Perplexity. Choosing between two architectures? Sequential mode runs each option through five independent technical assessments, and the comparison is built from evidence rather than one engineer&#8217;s preference.\n            <\/p>\n            <button type=\"button\" class=\"sm-usecases__cta\">\n              See sample output\n              <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M7 17L17 7M9 7h8v8\"\/><\/svg>\n            <\/button>\n          <\/div>\n          <div class=\"sm-peek\">\n            <span class=\"sm-peek__eyebrow sm-peek__eyebrow--mute\">Your current stack<\/span>\n            <div class=\"sm-peek__subs\">\n              <div class=\"sm-peek__sub-row\">\n                <span class=\"sm-peek__sub-name\"><span class=\"sm-peek__sub-dot\" style=\"background:#10A37F;\"><\/span><span class=\"sm-peek__sub-label\">ChatGPT Plus<\/span><\/span>\n                <span class=\"sm-peek__sub-price\">$20\/mo<\/span>\n              <\/div>\n              <div class=\"sm-peek__sub-row\">\n                <span class=\"sm-peek__sub-name\"><span class=\"sm-peek__sub-dot\" style=\"background:#D97757;\"><\/span><span class=\"sm-peek__sub-label\">Claude Pro<\/span><\/span>\n                <span class=\"sm-peek__sub-price\">$20\/mo<\/span>\n              <\/div>\n              <div class=\"sm-peek__sub-row\">\n                <span class=\"sm-peek__sub-name\"><span class=\"sm-peek__sub-dot\" style=\"background:#22D3EE;\"><\/span><span class=\"sm-peek__sub-label\">Perplexity Pro<\/span><\/span>\n                <span class=\"sm-peek__sub-price\">$20\/mo<\/span>\n              <\/div>\n              <div class=\"sm-peek__sub-row\">\n                <span class=\"sm-peek__sub-name\"><span class=\"sm-peek__sub-dot\" style=\"background:#4285F4;\"><\/span><span class=\"sm-peek__sub-label\">Gemini Advanced<\/span><\/span>\n                <span class=\"sm-peek__sub-price\">$20\/mo<\/span>\n              <\/div>\n              <div class=\"sm-peek__sub-row\">\n                <span class=\"sm-peek__sub-name\"><span class=\"sm-peek__sub-dot\" style=\"background:#E11D48;\"><\/span><span class=\"sm-peek__sub-label\">X Premium+<\/span><\/span>\n                <span class=\"sm-peek__sub-price\">$16\/mo<\/span>\n              <\/div>\n            <\/div>\n            <div class=\"sm-peek__total\">\n              <span class=\"sm-peek__total-label\">Total \/ month<\/span>\n              <span class=\"sm-peek__total-v\">$96<\/span>\n            <\/div>\n            <div class=\"sm-peek__frontier\">\n              <div>\n                <p class=\"sm-peek__frontier-eyebrow\">Suprmind Frontier<\/p>\n                <p class=\"sm-peek__frontier-line\">All five models \u00b7 one thread \u00b7 shared context<\/p>\n              <\/div>\n              <p class=\"sm-peek__frontier-price\">$95<\/p>\n            <\/div>\n          <\/div>\n        <\/div>\n\n        <!-- Panel 3 - Investment Analysts -->\n        <div class=\"sm-usecases__panel\" role=\"tabpanel\" data-sm-usecases-panel=\"3\">\n          <div class=\"sm-usecases__copy\">\n            <p class=\"sm-usecases__persona\">Investment Analysts<\/p>\n            <h3 class=\"sm-usecases__title\">IC memo, defensible by 4pm<\/h3>\n            <p class=\"sm-usecases__body\">\n              Have a thesis you need to defend by 4pm? Debate mode forces five frontier models to argue for and against with structured rebuttals. Weak points surface in minutes, not months. Walk into the IC meeting with the counter-arguments already on the page and the Master Document export ready to attach to the deck.\n            <\/p>\n            <button type=\"button\" class=\"sm-usecases__cta\">\n              See sample output\n              <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><path d=\"M7 17L17 7M9 7h8v8\"\/><\/svg>\n            <\/button>\n          <\/div>\n          <div class=\"sm-peek sm-peek--research\">\n            <span class=\"sm-peek__eyebrow\">Research Symphony &#8211; pipeline<\/span>\n            <div class=\"sm-peek__pipeline\">\n              <div class=\"sm-peek__pipeline-row\">\n                <span class=\"sm-peek__pipeline-num\">01<\/span>\n                <span class=\"sm-peek__pipeline-stage\">Retrieval<\/span>\n                <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#22D3EE\" aria-hidden=\"true\"><path d=\"M22.3977 7.0896h-2.3106V.0676l-7.5094 6.3542V.0676L4.8011 7.0896H1.6021v9.7732h3.1991v7.0696l7.7776-6.6065v6.6065l7.5094-6.3542v6.3542H22.3978z\"\/><\/svg>\n                <span class=\"sm-peek__pipeline-meta\">47 sources cited<\/span>\n                <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#10b981\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><path d=\"M9 12l2 2 4-4\"\/><\/svg>\n              <\/div>\n              <div class=\"sm-peek__pipeline-row\">\n                <span class=\"sm-peek__pipeline-num\">02<\/span>\n                <span class=\"sm-peek__pipeline-stage\">Analysis<\/span>\n                <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#D97757\" aria-hidden=\"true\"><path d=\"M17.3041 3.541h-3.6718l6.696 16.918H24Zm-10.6082 0L0 20.459h3.7442l1.3693-3.5527h7.0052l1.3693 3.5528h3.7442L10.5363 3.5409Zm-.3712 10.2232 2.2914-5.9456 2.2914 5.9456Z\"\/><\/svg>\n                <span class=\"sm-peek__pipeline-meta\">8 themes extracted<\/span>\n                <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#10b981\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><path d=\"M9 12l2 2 4-4\"\/><\/svg>\n              <\/div>\n              <div class=\"sm-peek__pipeline-row\">\n                <span class=\"sm-peek__pipeline-num\">03<\/span>\n                <span class=\"sm-peek__pipeline-stage\">Fact-check<\/span>\n                <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#4285F4\" aria-hidden=\"true\"><path d=\"M12 24A14.304 14.304 0 0 0 0 12 14.304 14.304 0 0 0 12 0a14.305 14.305 0 0 0 12 12 14.305 14.305 0 0 0-12 12Z\"\/><\/svg>\n                <span class=\"sm-peek__pipeline-meta\">3 contradictions flagged<\/span>\n                <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#10b981\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><path d=\"M9 12l2 2 4-4\"\/><\/svg>\n              <\/div>\n              <div class=\"sm-peek__pipeline-row\">\n                <span class=\"sm-peek__pipeline-num\">04<\/span>\n                <span class=\"sm-peek__pipeline-stage\">Challenge<\/span>\n                <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#E11D48\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" d=\"M9.27 15.29l7.978-5.897c.391-.29.95-.177 1.137.272.98 2.369.542 5.215-1.41 7.169-1.951 1.954-4.667 2.382-7.149 1.406l-2.711 1.257c3.889 2.661 8.611 2.003 11.562-.953 2.341-2.344 3.066-5.539 2.388-8.42l.006.007c-.983-4.232.242-5.924 2.75-9.383.06-.082.12-.164.179-.248l-3.301 3.305v-.01L9.267 15.292M7.623 16.723c-2.792-2.67-2.31-6.801.071-9.184 1.761-1.763 4.647-2.483 7.166-1.425l2.705-1.25a7.808 7.808 0 00-1.829-1A8.975 8.975 0 005.984 5.83c-2.533 2.536-3.33 6.436-1.962 9.764 1.022 2.487-.653 4.246-2.34 6.022-.599.63-1.199 1.259-1.682 1.925l7.62-6.815\"\/><\/svg>\n                <span class=\"sm-peek__pipeline-meta\">Red-team pass<\/span>\n                <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#10b981\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><path d=\"M9 12l2 2 4-4\"\/><\/svg>\n              <\/div>\n              <div class=\"sm-peek__pipeline-row sm-peek__pipeline-row--streaming\">\n                <span class=\"sm-peek__pipeline-num\">05<\/span>\n                <span class=\"sm-peek__pipeline-stage\">Synthesis<\/span>\n                <svg width=\"14\" height=\"14\" viewBox=\"0 0 24 24\" fill=\"#10A37F\" aria-hidden=\"true\"><path d=\"M22.282 9.821a5.985 5.985 0 0 0-.516-4.91 6.046 6.046 0 0 0-6.51-2.9A6.065 6.065 0 0 0 4.981 4.18a5.985 5.985 0 0 0-3.998 2.9 6.046 6.046 0 0 0 .743 7.097 5.98 5.98 0 0 0 .51 4.911 6.051 6.051 0 0 0 6.515 2.9A5.985 5.985 0 0 0 13.26 24a6.056 6.056 0 0 0 5.772-4.206 5.99 5.99 0 0 0 3.997-2.9 6.056 6.056 0 0 0-.747-7.073z\"\/><\/svg>\n                <span class=\"sm-peek__pipeline-meta\">8,200 \/ ~10,000 words<\/span>\n                <span class=\"sm-peek__dots\"><span class=\"sm-peek__dot\"><\/span><span class=\"sm-peek__dot\"><\/span><span class=\"sm-peek__dot\"><\/span><\/span>\n              <\/div>\n            <\/div>\n          <\/div>\n        <\/div>\n      <\/div>\n    <\/section>\n    \n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 11: THE MECHANISM -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section id=\"intelligence\" style=\"padding: 120px 48px;\">\n        <div class=\"intelligence-grid\">\n            <div class=\"intelligence-content\">\n                <div class=\"section-label\">The Mechanism<\/div>\n                <h3>How AI decision support compounds <br>across five models.<\/h3>\n                <p>\n                    When Claude reads your question, it also reads Perplexity&#8217;s research, Grok&#8217;s live context, and GPT&#8217;s logical framework. That is not five isolated answers. It is five responses shaped by each other, which is what turns a chat log into <strong>decision intelligence<\/strong> you can audit per model.\n                <\/p>\n                <p>\n                    The result is intelligence that compounds. Each AI adds its strengths while responding to everything before it. Gemini, with its 1M-token context, synthesizes the full chain into something no single model could produce.\n                <\/p>\n\n                <div class=\"philosophy-box\">\n                    <h4>Consilium: The expert panel model.<\/h4>\n                    <p>Medical review boards consult multiple specialists because complex cases expose the limits of individual expertise. Investment committees debate because conviction needs to survive challenge. <br> <br>\n                    Suprmind applies the same principle to AI: orchestrated disagreement produces better outcomes than confident agreement. The same architecture powers <a href=\"\/hub\/platform\/\">the multi-AI platform under the hood<\/a>.\n                    <\/p>\n                <\/div>\n\n                <ul class=\"feature-list\">\n                    <li><span class=\"check\"><\/span>Five frontier models responding in structured sequence<\/li>\n                    <li><span class=\"check\"><\/span>1M tokens of unified context across all AIs<\/li>\n                    <li><span class=\"check\"><\/span>Agreement and dissent scored per turn, never averaged away<\/li>\n                    <li><span class=\"check\"><\/span>Six modes for different decision types<\/li>\n                    <li><span class=\"check\"><\/span>@mention targeting for specific AI strengths<\/li>\n                    <li><span class=\"check\"><\/span>Automatic synthesis highlighting agreements and conflicts<\/li>\n                <\/ul>\n            <\/div>\n\n            <div class=\"process-visual\" style=\"background: #05020B;\">\n                <div class=\"process-step\">\n                    <span class=\"process-number\">1<\/span>\n                    <span class=\"process-name\">Query Enters<\/span>\n                    <span class=\"process-time\">Your Question<\/span>\n                    <div class=\"process-desc\">You ask something complex. Suprmind routes it through the selected mode structure.<\/div>\n                <\/div>\n                <div class=\"process-step\">\n                    <span class=\"process-number\">2<\/span>\n                    <span class=\"process-name\">Context Builds<\/span>\n                    <span class=\"process-time\">Each AI Adds<\/span>\n                    <div class=\"process-desc\">Each model responds while reading everything before it. Ideas evolve through the chain.<\/div>\n                <\/div>\n                <div class=\"process-step\">\n                    <span class=\"process-number\">3<\/span>\n                    <span class=\"process-name\">Conflicts Surface<\/span>\n                    <span class=\"process-time\">Disagreement Exposed<\/span>\n                    <div class=\"process-desc\">When AIs disagree, Suprmind highlights it instead of hiding it. This is the signal, not the noise.<\/div>\n                <\/div>\n                <div class=\"process-step\">\n                    <span class=\"process-number\">4<\/span>\n                    <span class=\"process-name\">Synthesis Generated<\/span>\n                    <span class=\"process-time\">Unified Output<\/span>\n                    <div class=\"process-desc\">The full response chain plus a synthesized view of agreements, conflicts, and implications.<\/div>\n                <\/div>\n                <div class=\"process-step\">\n                    <span class=\"process-number\">5<\/span>\n                    <span class=\"process-name\">Conversation Continues<\/span>\n                    <span class=\"process-time\">Iterate or Pivot<\/span>\n                    <div class=\"process-desc\">Follow up. Switch modes. Dig into a disagreement. The context persists across turns.<\/div>\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/section>\n\n\n\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 13: PRICING BRIDGE -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 100px 48px 40px;\">\n        <div style=\"max-width: 1100px; margin: 0 auto;\">\n            <div style=\"text-align: center; margin-bottom: 48px;\">\n                <div class=\"section-label\">Pricing<\/div>\n                <h2>Four plans. One 7-day trial. <br>No credit card to start.<\/h2>\n                <p style=\"font-size: 18px; color: #9ca3af; max-width: 720px; margin: 24px auto 0;\">\n                    The trial runs the full five-model boardroom so you can see the disagreements before you decide anything. Name, email, password, about twenty seconds.\n                <\/p>\n            <\/div>\n\n            <div style=\"display: flex; flex-wrap: wrap; gap: 20px; margin-bottom: 40px;\">\n                <div style=\"flex: 1 1 220px; min-width: 200px; padding: 28px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 18px; font-weight: 600; margin: 0 0 4px 0;\">Spark<\/p>\n                    <p style=\"font-size: 28px; font-weight: 700; margin: 0 0 12px 0;\">$19<span style=\"font-size: 16px; color: #9ca3af; font-weight: 400;\">\/mo<\/span><\/p>\n                    <p style=\"font-size: 16px; line-height: 1.6; color: #a1a1aa; margin: 0;\">Sequential and Super Mind. Scribe, Master Documents, Smart Visualizations, project memory.<\/p>\n                <\/div>\n                <div style=\"flex: 1 1 220px; min-width: 200px; padding: 28px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 18px; font-weight: 600; margin: 0 0 4px 0;\">Pro<\/p>\n                    <p style=\"font-size: 28px; font-weight: 700; margin: 0 0 12px 0;\">$45<span style=\"font-size: 16px; color: #9ca3af; font-weight: 400;\">\/mo<\/span><\/p>\n                    <p style=\"font-size: 16px; line-height: 1.6; color: #a1a1aa; margin: 0;\">Five-model boardroom, Debate, Red Team, First Principles, and the full decision intelligence layer.<\/p>\n                <\/div>\n                <div style=\"flex: 1 1 220px; min-width: 200px; padding: 28px; border: 2px solid #8b5cf6; border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 13px; letter-spacing: 0.08em; text-transform: uppercase; color: #a78bfa; margin: 0 0 8px 0; font-weight: 600;\">Most Popular<\/p>\n                    <p style=\"font-size: 18px; font-weight: 600; margin: 0 0 4px 0;\">Frontier<\/p>\n                    <p style=\"font-size: 28px; font-weight: 700; margin: 0 0 12px 0;\">$95<span style=\"font-size: 16px; color: #9ca3af; font-weight: 400;\">\/mo<\/span><\/p>\n                    <p style=\"font-size: 16px; line-height: 1.6; color: #a1a1aa; margin: 0;\">Everything in Pro plus cross-workspace Master Project, priority queue, and early access.<\/p>\n                <\/div>\n                <div style=\"flex: 1 1 220px; min-width: 200px; padding: 28px; border: 2px solid var(--border-subtle, #27272a); border-radius: 12px; box-sizing: border-box;\">\n                    <p style=\"font-size: 18px; font-weight: 600; margin: 0 0 4px 0;\">Power<\/p>\n                    <p style=\"font-size: 28px; font-weight: 700; margin: 0 0 12px 0;\">$195<span style=\"font-size: 16px; color: #9ca3af; font-weight: 400;\">\/mo<\/span><\/p>\n                    <p style=\"font-size: 16px; line-height: 1.6; color: #a1a1aa; margin: 0;\">Highest usage of any self-serve plan, your own API keys, direct same-day support.<\/p>\n                <\/div>\n            <\/div>\n\n            <p style=\"text-align: center; font-size: 17px; color: #a1a1aa; margin: 0;\">\n                Teams need Research Symphony, managed allocation, and a single invoice? <a href=\"\/hub\/pricing\/\" style=\"color:#a78bfa;\">See the full pricing page<\/a> for Enterprise.\n            <\/p>\n        <\/div>\n    <\/section>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 14: FINAL CTA -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section style=\"padding: 60px 48px 100px;\">\n        <div class=\"cta-section\">\n            <h2>Your next decision deserves <br>more than one perspective.<\/h2>\n            <p class=\"cta-subtitle\">\n                Pick Sequential, Debate, or Red Team. Watch five frontier AIs <br>challenge each other&#8217;s reasoning before it reaches your deliverable.\n            <\/p>\n            <a href=\"https:\/\/suprmind.ai\/signup\/spark\" class=\"btn-white\">Start Your 7-day free trial. No CC required.<\/a>\n            <a href=\"\/hub\/pricing\/\" class=\"btn-white\" style=\"margin-top: 15px;\">See Pricing<\/a>\n        <\/div>\n    <\/section>\n\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <!-- SECTION 15: FAQ -->\n    <!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n    <section id=\"faq\" aria-labelledby=\"faq-heading\">\n        <p class=\"section-label\">FAQ<\/p>\n        <h2 id=\"faq-heading\">Common Questions About AI Decision Making Software<\/h2>\n\n        <p style=\"font-size: 17px; line-height: 1.8; color: rgba(255,255,255,0.88); max-width: 860px; margin: 0 0 32px 0;\">\n            AI decision making software coordinates more than one AI model to examine a choice from several angles before you commit to it. A single model gives you one opinion and no way to audit it. Multi-model decision intelligence tools run the same question through several frontier models in shared context, then surface where those models disagree so you can check the parts that matter.\n        <\/p>\n\n        <div class=\"faq-accordion\">\n            <!-- FAQ 1 -->\n            <details class=\"faq-item\" open>\n                <summary class=\"faq-question\">\n                    <span>What is AI decision making software?<\/span>\n                    <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n                <\/summary>\n                <div class=\"faq-answer\">\n                    <p style=\"font-size: 17px; line-height: 1.7;\">It is software that coordinates more than one AI model to examine a choice from different angles before you commit to it. A single model returns one opinion and no way to audit it. Decision software runs several frontier models over the same question, keeps them in shared context so they read each other, and makes the points of disagreement visible so you can check the parts that actually matter. What you take away is a decision brief, not a chat transcript.<\/p>\n                <\/div>\n            <\/details>\n\n            <!-- FAQ 2 -->\n            <details class=\"faq-item\">\n                <summary class=\"faq-question\">\n                    <span>How is this different from switching between ChatGPT and Claude?<\/span>\n                    <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n                <\/summary>\n                <div class=\"faq-answer\">\n                    <p style=\"font-size: 17px; line-height: 1.7;\">When you switch tools, context resets. You re-explain the problem and manually compare outputs. Suprmind keeps shared context across all five models, so each AI reads what the others said in the same conversation. That creates compounding perspectives instead of isolated answers you reconcile yourself.<\/p>\n                <\/div>\n            <\/details>\n\n            <!-- FAQ 3 -->\n            <details class=\"faq-item\">\n                <summary class=\"faq-question\">\n                    <span>Does AI consensus mean the answer is correct?<\/span>\n                    <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n                <\/summary>\n                <div class=\"faq-answer\">\n                    <p style=\"font-size: 17px; line-height: 1.7;\">No, and any tool that tells you otherwise is overselling. Five models can share a training-data blind spot and converge on the same wrong answer. What agreement across five independently trained models does give you is a far better calibrated confidence signal than one model&#8217;s certainty, because each of the five had the others&#8217; reasoning in front of it and could have objected. Treat convergence as a green light to move, not as proof. Treat divergence as a hard stop until you have checked it yourself.<\/p>\n                <\/div>\n            <\/details>\n\n            <!-- FAQ 4 -->\n            <details class=\"faq-item\">\n                <summary class=\"faq-question\">\n                    <span>What does &#8220;disagreement is the feature&#8221; mean?<\/span>\n                    <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n                <\/summary>\n                <div class=\"faq-answer\">\n                    <p style=\"font-size: 17px; line-height: 1.7;\">Real decisions involve tradeoffs, uncertainties, and edge cases. When AI models disagree, that disagreement points to the actual complexity of your problem. Suprmind surfaces these conflicts instead of hiding them behind one model&#8217;s confident-sounding answer. The conflicts are usually the most valuable output.<\/p>\n                <\/div>\n            <\/details>\n\n            <!-- FAQ 5 -->\n            <details class=\"faq-item\">\n                <summary class=\"faq-question\">\n                    <span>Which decisions is Suprmind best for?<\/span>\n                    <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n                <\/summary>\n                <div class=\"faq-answer\">\n                    <p style=\"font-size: 17px; line-height: 1.7;\">Decisions where being wrong costs real money, time, or reputation. Strategy validation, investment analysis, risk assessment, vendor evaluation, market entry, architecture choices, research synthesis. If you would normally want a second opinion from a colleague or advisor, this is the AI version, except you get five opinions that challenge each other.<\/p>\n                <\/div>\n            <\/details>\n\n            <!-- FAQ 6 -->\n            <details class=\"faq-item\">\n                <summary class=\"faq-question\">\n                    <span>What outputs can I export?<\/span>\n                    <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n                <\/summary>\n                <div class=\"faq-answer\">\n                    <p style=\"font-size: 17px; line-height: 1.7;\">The Master Document Generator produces 25+ professional templates including executive briefs, competitive analyses, strategy memos, risk assessments, and research papers, exported as PDF or DOCX with charts embedded. Scribe captures decisions, risks, and action items as you talk. The Adjudicator turns a flagged disagreement into a structured decision brief. Every conversation becomes a deliverable, not just a transcript.<\/p>\n                <\/div>\n            <\/details>\n\n            <!-- FAQ 7 -->\n            <details class=\"faq-item\">\n                <summary class=\"faq-question\">\n                    <span>What is the best AI decision making software for business?<\/span>\n                    <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n                <\/summary>\n                <div class=\"faq-answer\">\n                    <p style=\"font-size: 17px; line-height: 1.7;\">It depends on what kind of decision you are making and how much it costs to be wrong. Single-model tools like ChatGPT, Claude, or Perplexity used individually give you one fluent answer per query, which is fine for low-stakes work and risky for high-stakes calls where confident-sounding answers hide model-specific blind spots. Multi-model decision intelligence tools orchestrate five frontier models in one conversation with shared context, cross-model checking, and an exportable decision trail. That shape suits strategy, risk, investment, and technical calls where you would otherwise want a second human opinion in the room.<\/p>\n                <\/div>\n            <\/details>\n\n            <!-- FAQ 8 -->\n            <details class=\"faq-item\">\n                <summary class=\"faq-question\">\n                    <span>How does AI for decision making compare to using ChatGPT or Claude alone?<\/span>\n                    <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n                <\/summary>\n                <div class=\"faq-answer\">\n                    <p style=\"font-size: 17px; line-height: 1.7;\">Using one model alone gives you one model&#8217;s reasoning. Done properly, AI for decision making gives you five models reading and challenging each other inside the same thread. Claude tends to catch reasoning errors GPT misses. Perplexity catches fabricated citations Gemini lets through. Grok surfaces real-time context the others lack. The disagreement is the signal. When all five agree, your confidence is calibrated. When they fracture, you have found the part of the decision that still needs work.<\/p>\n                <\/div>\n            <\/details>\n\n            <!-- FAQ 9 -->\n            <details class=\"faq-item\">\n                <summary class=\"faq-question\">\n                    <span>Is Suprmind an AI decision support tool or a chatbot?<\/span>\n                    <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n                <\/summary>\n                <div class=\"faq-answer\">\n                    <p style=\"font-size: 17px; line-height: 1.7;\">A decision support tool. A chatbot is one model in a turn-taking interface designed to keep you talking. Suprmind is an orchestration layer designed to produce a defensible decision: six structured modes (Sequential, Super Mind, Debate, Red Team, First Principles, Research Symphony), cross-model checking, automatic conflict surfacing, and exportable artifacts through the Master Document Generator and the Adjudicator. You can also target one model directly with @claude or @gpt in any mode.<\/p>\n                <\/div>\n            <\/details>\n\n            <!-- FAQ 10 -->\n            <details class=\"faq-item\">\n                <summary class=\"faq-question\">\n                    <span>Does Suprmind make the decision for me?<\/span>\n                    <span class=\"faq-icon\" aria-hidden=\"true\">+<\/span>\n                <\/summary>\n                <div class=\"faq-answer\">\n                    <p style=\"font-size: 17px; line-height: 1.7;\">No. You assign the task, you pick the mode, you read the dissent, and you make the call. Suprmind produces a recommendation with the reasoning and the objections attached, so the decision you make is one you can explain later. Nothing runs autonomously and nothing gets decided while you are not looking.<\/p>\n                <\/div>\n            <\/details>\n        <\/div>\n    <\/section>\n\n    <!-- FOOTER NOTE -->\n    <section style=\"padding: 40px 48px; text-align: center;\">\n        <p style=\"font-size: 16px; color: #e5e7eb; font-weight: 500; margin-bottom: 8px;\">\n            Disagreement is the feature.<\/p>\n        <p style=\"font-size: 14px; color: #e5e7eb; font-style: italic;\">\n            AI decision making software for professionals who cannot afford to be wrong.<\/p>\n    <\/section>\n\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Suprmind is an AI decision making platform that runs your question through five frontier models simultaneously in one shared conversation. Claude, GPT, Gemini, Grok, and Perplexity each read and challenge what came before, surfacing disagreements instead of hiding them. Where models converge, you have calibrated confidence. Where they split, you have found exactly where your decision still needs work.<\/p>\n","protected":false},"author":1,"featured_media":5933,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"supr-pricing.php","meta":{"wpai_meta_description":"Suprmind runs your question through Claude, GPT, Gemini, Grok, and Perplexity in one thread, surfacing disagreements so you decide with real confidence, not guesswork.","footnotes":""},"tags":[984,380,985],"class_list":["post-885","page","type-page","status-publish","has-post-thumbnail","hentry","tag-ai-decision-making","tag-decision-intelligence","tag-decision-making-ai-platform"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 4.9.9 - aioseo.com -->\n\t<meta name=\"description\" content=\"An AI decision making platform that runs your question through five frontier AI models in one thread, surfacing disagreements so you decide with real confidence\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"keywords\" content=\"ai decision making,decision intelligence,decision making ai platform\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/suprmind.ai\/hub\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO Pro (AIOSEO) 4.9.9\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"Suprmind - Multi-Model AI Decision Intelligence Chat Platform for Professionals for Business: 5 Models, One Thread .\" \/>\n\t\t<meta property=\"og:type\" content=\"website\" \/>\n\t\t<meta property=\"og:title\" content=\"AI Decision Making Tools for Business - 5 AIs, One Conversation - Suprmind\" \/>\n\t\t<meta property=\"og:description\" content=\"An AI decision making platform that runs your question through five frontier AI models in one thread, surfacing disagreements so you decide with real confidence\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/suprmind.ai\/hub\/\" \/>\n\t\t<meta property=\"fb:admins\" content=\"567083258\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/suprmind.ai\/hub\/wp-content\/uploads\/2026\/06\/new-og-disagreement.png?wsr\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/suprmind.ai\/hub\/wp-content\/uploads\/2026\/06\/new-og-disagreement.png?wsr\" \/>\n\t\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n\t\t<meta name=\"twitter:site\" content=\"@suprmind_ai\" \/>\n\t\t<meta name=\"twitter:title\" content=\"AI Decision Making Tools for Business - 5 AIs, One Conversation - Suprmind\" \/>\n\t\t<meta name=\"twitter:description\" content=\"An AI decision making platform that runs your question through five frontier AI models in one thread, surfacing disagreements so you decide with real confidence\" \/>\n\t\t<meta name=\"twitter:creator\" content=\"@RadomirBasta\" \/>\n\t\t<meta name=\"twitter:image\" content=\"https:\/\/suprmind.ai\/hub\/wp-content\/uploads\/2026\/06\/new-og-disagreement.png?wsr\" \/>\n\t\t<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t\t<meta name=\"twitter:data1\" content=\"Radomir Basta\" \/>\n\t\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t\t<meta name=\"twitter:data2\" content=\"27 minutes\" \/>\n\t\t<script type=\"application\/ld+json\" class=\"aioseo-schema\">\n\t\t\t{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/#breadcrumblist\",\"itemListElement\":[{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/insights\\\/tag\\\/decision-intelligence\\\/#listItem\",\"position\":1,\"name\":\"decision intelligence\",\"item\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/insights\\\/tag\\\/decision-intelligence\\\/\",\"nextItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/#listItem\",\"name\":\"Hub\"}},{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/#listItem\",\"position\":2,\"name\":\"Hub\",\"previousItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/insights\\\/tag\\\/decision-intelligence\\\/#listItem\",\"name\":\"decision intelligence\"}}]},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/suprmind.ai\\\/hub\\\/#organization\",\"name\":\"Suprmind\",\"description\":\"Suprmind is the multi-model AI decision intelligence chat platform for professionals who cannot afford wrong AI answers. 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