{"id":5970,"date":"2026-06-09T00:38:25","date_gmt":"2026-06-09T00:38:25","guid":{"rendered":"https:\/\/suprmind.ai\/hub\/?p=5970"},"modified":"2026-06-09T00:38:34","modified_gmt":"2026-06-09T00:38:34","slug":"suprmind-upgrades-june-9-2026","status":"publish","type":"post","link":"https:\/\/suprmind.ai\/hub\/insights\/suprmind-upgrades-june-9-2026\/","title":{"rendered":"Suprmind Upgrades &#8211; June 9, 2026"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Two months of work. Three new frontier models added as soon as they launched, AI Teams finally deployed, app and website translated into three new languages, a Document Intelligence pipeline rebuilt, a bigger context window, and one quiet win: Every conversation now costs less to run.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This change log headliner is AI Teams. You can now choose which models make up your lineup and which team answers each prompt in each turn, with a single click. Do not want to manage it? The smart Auto selector reads each prompt and picks the right team for you.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Everything else is below.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Now live<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">&#8211; AI Teams<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Pick the models that run your conversations. AI Teams groups the five providers into three teams, and you choose which model from each provider fills each slot. Set them up on the <a target=\"_blank\" rel=\"noreferrer noopener\" href=\"https:\/\/suprmind.ai\/settings?tab=ai-teams\"><u>AI Teams settings page<\/u><\/a>.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The A-Team<\/strong> &#8211; deep deliberation for strategic decisions, novel problems, and high-stakes calls.<\/li>\n\n\n\n<li><strong>Operators<\/strong> &#8211; the workhorse team for real tasks that do not need maximum brainpower at maximum cost.<\/li>\n\n\n\n<li><strong>Daily Drivers<\/strong> &#8211; capable on their own, these models compound into a fast team that handles 70 to 80 percent of everyday work: parsing, extraction, and data tasks.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Out of the box, the A-Team runs Claude Opus 4.8, GPT-5.4, Gemini 3.1 Pro, Grok 4.3, and Sonar Reasoning Pro. The defaults are not guesswork. We built them on our own accounts and tuned them against a huge amount of real work on the platform. Customize any slot you want.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Each team has its own reasoning depth set automatically, and the Deep Thinking toggle forces full reasoning whenever you need it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Choose which team replies per turn from the chat settings panel. Leave it on Auto and the selector reads each message &#8211; task, complexity, length, attachments &#8211; and routes it to the best-fit team. Pick a team by hand and it applies to that turn, then hands back to Auto. To keep one team locked across the whole conversation, switch on Full control.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Available on Pro, Frontier, and Enterprise.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One note: GPT-5.5 is available on Frontier plans, but it is not selected as the default model in the AI Team. Its cost sits on par with Claude Opus 4.8, and running both at once burns through usage fast. Add it yourself if you want it. You have full control.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">&#8211; Lower cost on every conversation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">We shipped 37 improvements to prompt caching and to how images and documents are handled, much of it focused on Claude. The cost of each conversation turn dropped, with no change to the models or what they can do.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">&#8211; Now in German, French, and Spanish<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Suprmind works end to end in three more languages. The app interface, onboarding, settings, the homepage, and the help content are all localized for German, French, and Spanish. The AIs already replied in your language. Now the whole product does too. Switch languages from the menu.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">&#8211; Document Intelligence V2<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">We rebuilt how Suprmind reads your files.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Drop a large, messy document into the chat and the pipeline cleans it, parses it, converts it to markdown, and annotates pages, subheadings, and chapters. A model with a two million token window then reads the whole thing and writes a Doc Intel Brief. The document is vectorized and available to all five AIs for deep analysis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Each file shows its status as it moves through the pipeline &#8211; Indexing, Ready, or Failed &#8211; so you know when it is ready to use. You can search your files by name in the Files panel. And more of your documents get the full treatment now, because we lowered the size threshold for deep processing.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">&#8211; The latest models, and a bigger context window<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">We keep the lineup current. Every provider is on its newest models &#8211; Claude Opus 4.8, GPT-5.4, Gemini 3.1 Pro, Grok 4.3, and Sonar Reasoning Pro. GPT-5.5 is now available on Frontier and Enterprise.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Claude also runs on a much larger context window, one million tokens, without a previous double cost penalty for context over 200.000 tokens. Very long threads and large documents stay fully in context, so nothing important falls off the back of the conversation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">&#8211; Also new and improved<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Larger file uploads.<\/strong> Pro and Frontier both got higher upload limits.<\/li>\n\n\n\n<li><strong>Cleaner composer.<\/strong> Paste a large block of text and Suprmind turns it into a .txt attachment automatically, so the message box stays readable.<\/li>\n\n\n\n<li><strong>Live search for Gemini.<\/strong> On Pro and up, Gemini now grounds its answers in current Google Search results, alongside the fresh-data lookups from Perplexity and Grok.<\/li>\n\n\n\n<li><strong>In-app announcements.<\/strong> Product updates and notices now show up inside Suprmind, not only by email.<\/li>\n\n\n\n<li><strong>Screenshots in support.<\/strong> In-app support can now read images you send, so you can show a problem instead of describing it.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Coming soon<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">&#8211; The Adjutant<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A project-aware strategist with you on every project. The Adjutant watches the work in your project and surfaces the right context, prompts, and next steps before you go looking for them. It is in validation with Enterprise users now, and a wider rollout is coming.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">&#8211; MCP Connectors<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Connect your tools, and let the AIs use them. We are finishing testing on connectors for the Google suite, Notion, Google Analytics, and many more through Zapier. Once a tool is connected, all five AIs can read from it and act through it inside the same conversation. This is real agent orchestration. The team does not just discuss your work, it can go and do parts of it.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">&#8211; Red Team v2<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The biggest upgrade to any mode yet. Red Team v2 runs a full round of attacks on your idea, then a defense turn where the case gets argued back, then a sharpened second round that goes after whatever survived. In the 4th turn, the user gets the synthesis and the Adjuicator&#8217;s Risk Posture Dosier. You get a much harder stress test and a clearer read on which risks actually hold up.&nbsp;<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Platform maintenance<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Maintenance, fixes, and steady polishing run in the background every day. We hope you are feeling the difference across the app.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Did you know?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Two ways to get sharper answers and stretch your usage:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>You do not need all five models on every turn. Click the provider pills above the chat box to include or drop any AI, or tag one directly with @ to send a question to it alone.<\/li>\n\n\n\n<li>Long threads cost more per turn, because each turn carries the weight of everything before it. When your direction shifts, start a fresh session instead of pushing one thread to its limit. The AIs focus fully on the new goal, and the answers get better. For the record: one session this June reached 107 turns, up from the old high of 57. You can run that long. You rarely need to.<\/li>\n<\/ul>\n<style>\r\n.lwrp.link-whisper-related-posts{\r\n            \r\n            margin-top: 40px;\nmargin-bottom: 30px;\r\n        }\r\n        .lwrp .lwrp-title{\r\n            \r\n            \r\n        }.lwrp .lwrp-description{\r\n            \r\n            \r\n\r\n        }\r\n        .lwrp .lwrp-list-container{\r\n        }\r\n        .lwrp .lwrp-list-multi-container{\r\n            display: flex;\r\n        }\r\n        .lwrp .lwrp-list-double{\r\n            width: 48%;\r\n        }\r\n        .lwrp .lwrp-list-triple{\r\n            width: 32%;\r\n        }\r\n        .lwrp .lwrp-list-row-container{\r\n            display: flex;\r\n            justify-content: space-between;\r\n        }\r\n        .lwrp .lwrp-list-row-container .lwrp-list-item{\r\n            width: calc(12% - 20px);\r\n        }\r\n        .lwrp .lwrp-list-item:not(.lwrp-no-posts-message-item){\r\n            \r\n            \r\n        }\r\n        .lwrp .lwrp-list-item img{\r\n            max-width: 100%;\r\n            height: auto;\r\n            object-fit: cover;\r\n            aspect-ratio: 1 \/ 1;\r\n        }\r\n        .lwrp .lwrp-list-item.lwrp-empty-list-item{\r\n            background: initial !important;\r\n        }\r\n        .lwrp .lwrp-list-item .lwrp-list-link .lwrp-list-link-title-text,\r\n        .lwrp .lwrp-list-item .lwrp-list-no-posts-message{\r\n            \r\n            \r\n            \r\n            \r\n        }@media screen and (max-width: 480px) {\r\n            .lwrp.link-whisper-related-posts{\r\n                \r\n                \r\n            }\r\n            .lwrp .lwrp-title{\r\n                \r\n                \r\n            }.lwrp .lwrp-description{\r\n                \r\n                \r\n            }\r\n            .lwrp .lwrp-list-multi-container{\r\n                flex-direction: column;\r\n            }\r\n            .lwrp .lwrp-list-multi-container ul.lwrp-list{\r\n                margin-top: 0px;\r\n                margin-bottom: 0px;\r\n                padding-top: 0px;\r\n                padding-bottom: 0px;\r\n            }\r\n            .lwrp .lwrp-list-double,\r\n            .lwrp .lwrp-list-triple{\r\n                width: 100%;\r\n            }\r\n            .lwrp .lwrp-list-row-container{\r\n                justify-content: initial;\r\n                flex-direction: column;\r\n            }\r\n            .lwrp .lwrp-list-row-container .lwrp-list-item{\r\n                width: 100%;\r\n            }\r\n            .lwrp .lwrp-list-item:not(.lwrp-no-posts-message-item){\r\n                \r\n                \r\n            }\r\n            .lwrp .lwrp-list-item .lwrp-list-link .lwrp-list-link-title-text,\r\n            .lwrp .lwrp-list-item .lwrp-list-no-posts-message{\r\n                \r\n                \r\n                \r\n                \r\n            };\r\n        }<\/style>\r\n<div id=\"link-whisper-related-posts-widget\" class=\"link-whisper-related-posts lwrp\">\r\n            <h3 class=\"lwrp-title\">Related Topics and Pages<\/h3>    \r\n        <div class=\"lwrp-list-container\">\r\n                                            <ul class=\"lwrp-list lwrp-list-single\">\r\n                    <li class=\"lwrp-list-item\"><a href=\"https:\/\/suprmind.ai\/hub\/es\/methodology\/latencia-de-recuperacion\/\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">Latencia de recuperaci\u00f3n<\/span><\/a><\/li><li class=\"lwrp-list-item\"><a href=\"https:\/\/suprmind.ai\/hub\/insights\/is-claude-better-than-chatgpt-a-task-by-task-comparison-for\/\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">Is Claude Better Than ChatGPT? 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Three new frontier models added as soon as they launched, AI Teams finally deployed, app and website translated into three new languages, a Document Intelligence pipeline rebuilt, a bigger context window, and one quiet win: Every conversation now costs less to run. This change log headliner is AI Teams. You can [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":5932,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[623],"tags":[624,839],"class_list":["post-5970","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-changelog","tag-changelog","tag-suprmind-upgrades"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 4.9.0 - aioseo.com -->\n\t<meta name=\"description\" content=\"Two months of work. 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He is best known for building systems that remove guesswork from strategy and execution.\\u00a0 His current focus is Suprmind.ai, a multi AI decision validation platform that turns conflicting model opinions into structured output. Suprmind is built around a simple rule: disagreement is the feature. Instead of one confident answer, you get competing arguments, pressure tests, and a final synthesis you can act on. Why Suprmind? In 2023, Radomir Basta's agency team started using AI models across every part of client work. ChatGPT for content drafts. Claude for analysis. Gemini for research. Perplexity for fact-checking. Grok for real-time data. Within six months, a pattern became obvious. Every important question ended up in three or four browser tabs. Each model gave a confident answer. The answers often disagreed. There was no clean way to reconcile them. For low-stakes work this was fine. Write an email. Summarize a document. Ask one AI, move on. But agency work was not always low-stakes. Pricing strategies that shaped a client's entire quarterly revenue. Messaging for product launches that could not be undone. Targeting calls that would define a brand's public reputation. Single-model confidence on questions like those was gambling with somebody else's money. Suprmind.ai is what came out of that frustration. Launched in 2025, it puts five frontier models in one orchestrated thread - not side-by-side, but in genuine structured conversation where each model reads what the others said before responding. A shared Context Fabric keeps all five synchronized across long sessions. A Knowledge Graph builds a passive project brain over time, retaining entities, decisions, and relationships that would otherwise vanish between sessions. The Scribe extracts action items and synthesized conclusions in real time. A Disagreement\\\/Correction Index quantifies exactly how much the models agree or diverge on any given turn. The principle behind the design: disagreement is the feature. When the models agree, conviction has been earned. When they disagree, the uncertainty has been made visible before it becomes an expensive mistake. The Pattern Behind the Product Suprmind is not the first tool Basta has built this way. It is the seventh. Over fifteen years running Four Dots, the digital marketing agency he co-founded in 2013, he has hit the same wall repeatedly. A client needs something. No existing tool solves it properly. The answer is always the same: build it. That habit produced Base.me for link building management (now maintaining an 80% link survival rate for Four Dots versus the 60% industry average). Reportz.io for real-time client reporting (tracking over a billion marketing events annually across 30+ channels). Dibz.me for prospecting. TheTrustmaker for conversion social proof. UberPress.ai for automated content. FAII.ai for AI visibility monitoring across ChatGPT, Claude, Gemini, Grok, and Perplexity. Each platform started as an internal solution to an internal problem. Each one eventually proved useful enough that other agencies and in-house teams started paying to use it. Suprmind follows the same logic applied to a different problem. The agency needed multi-model AI validation for high-stakes recommendations. Existing tools offered parallel comparison, not orchestrated collaboration. So he built orchestrated collaboration. The Agency That Funded the Lab Four Dots is the infrastructure that made Suprmind possible. Basta co-founded the agency in 2013 with three partners who still run it alongside him. Twelve years later, Four Dots operates from offices in New York, Belgrade, Novi Sad, Sydney, and Hong Kong. Thirty-plus specialists. Worked with more than 200 clients across three continents. Google Premier Partner status - the top three percent of agencies on the market. The client list reflects the positioning. Coca-Cola, Philip Morris International, Orange Telecommunications, Beko, and Air Serbia alongside many mid-market brands. Work with enterprise accounts at that scale generates the cash flow, the problem surface, and the feedback loop a product lab needs. The agency grew on organic referrals, without outside capital, and operates strictly month-to-month. That structural exposure - prove value or lose the client in thirty days - is the pressure that surfaces the problems Suprmind was built to solve. Suprmind was not built by a solo founder guessing at user needs. It was built by a working agency that encountered the problem daily, on accounts where the cost of being wrong was measured in six figures. The Practitioner Background Basta started as a hands-on SEO consultant in 2010. Fifteen years later, he still reviews crawl data, audits link profiles, and weighs in on keyword decisions for enterprise Four Dots accounts. That practitioner background shaped how Suprmind was designed. Debate mode exists because he has watched real agency strategies fall apart under first-contact pressure-testing and wanted a way to catch those failures before clients did. The Decision Validation Engine exists because executives need verdicts, not essays. Research Symphony has a four-stage pipeline - retrieval, pattern analysis, critical validation, actionable synthesis - because real research is never one pass. Suprmind was designed by someone who needed it to actually work on actual problems. Not a demo. Not a prototype. A tool his agency uses daily on client deliverables. Teaching, Writing, Speaking The same background that informs Suprmind's design also shows up in public work. Principal SEO lecturer at Belgrade's Digital Communications Institute since 2013. Author of The Good Book of SEO in 2020. 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He is best known for building systems that remove guesswork from strategy and execution.\u00a0 His current focus is Suprmind.ai, a multi AI decision validation platform that turns conflicting model opinions into structured output. Suprmind is built around a simple rule: disagreement is the feature. Instead of one confident answer, you get competing arguments, pressure tests, and a final synthesis you can act on. Why Suprmind? In 2023, Radomir Basta's agency team started using AI models across every part of client work. ChatGPT for content drafts. Claude for analysis. Gemini for research. Perplexity for fact-checking. Grok for real-time data. Within six months, a pattern became obvious. Every important question ended up in three or four browser tabs. Each model gave a confident answer. The answers often disagreed. There was no clean way to reconcile them. For low-stakes work this was fine. Write an email. Summarize a document. Ask one AI, move on. But agency work was not always low-stakes. Pricing strategies that shaped a client's entire quarterly revenue. Messaging for product launches that could not be undone. Targeting calls that would define a brand's public reputation. Single-model confidence on questions like those was gambling with somebody else's money. Suprmind.ai is what came out of that frustration. Launched in 2025, it puts five frontier models in one orchestrated thread - not side-by-side, but in genuine structured conversation where each model reads what the others said before responding. A shared Context Fabric keeps all five synchronized across long sessions. A Knowledge Graph builds a passive project brain over time, retaining entities, decisions, and relationships that would otherwise vanish between sessions. The Scribe extracts action items and synthesized conclusions in real time. A Disagreement\/Correction Index quantifies exactly how much the models agree or diverge on any given turn. The principle behind the design: disagreement is the feature. When the models agree, conviction has been earned. When they disagree, the uncertainty has been made visible before it becomes an expensive mistake. The Pattern Behind the Product Suprmind is not the first tool Basta has built this way. It is the seventh. Over fifteen years running Four Dots, the digital marketing agency he co-founded in 2013, he has hit the same wall repeatedly. A client needs something. No existing tool solves it properly. The answer is always the same: build it. That habit produced Base.me for link building management (now maintaining an 80% link survival rate for Four Dots versus the 60% industry average). Reportz.io for real-time client reporting (tracking over a billion marketing events annually across 30+ channels). Dibz.me for prospecting. TheTrustmaker for conversion social proof. UberPress.ai for automated content. FAII.ai for AI visibility monitoring across ChatGPT, Claude, Gemini, Grok, and Perplexity. Each platform started as an internal solution to an internal problem. Each one eventually proved useful enough that other agencies and in-house teams started paying to use it. Suprmind follows the same logic applied to a different problem. The agency needed multi-model AI validation for high-stakes recommendations. Existing tools offered parallel comparison, not orchestrated collaboration. So he built orchestrated collaboration. The Agency That Funded the Lab Four Dots is the infrastructure that made Suprmind possible. Basta co-founded the agency in 2013 with three partners who still run it alongside him. Twelve years later, Four Dots operates from offices in New York, Belgrade, Novi Sad, Sydney, and Hong Kong. Thirty-plus specialists. Worked with more than 200 clients across three continents. Google Premier Partner status - the top three percent of agencies on the market. The client list reflects the positioning. Coca-Cola, Philip Morris International, Orange Telecommunications, Beko, and Air Serbia alongside many mid-market brands. Work with enterprise accounts at that scale generates the cash flow, the problem surface, and the feedback loop a product lab needs. The agency grew on organic referrals, without outside capital, and operates strictly month-to-month. That structural exposure - prove value or lose the client in thirty days - is the pressure that surfaces the problems Suprmind was built to solve. Suprmind was not built by a solo founder guessing at user needs. It was built by a working agency that encountered the problem daily, on accounts where the cost of being wrong was measured in six figures. The Practitioner Background Basta started as a hands-on SEO consultant in 2010. Fifteen years later, he still reviews crawl data, audits link profiles, and weighs in on keyword decisions for enterprise Four Dots accounts. That practitioner background shaped how Suprmind was designed. Debate mode exists because he has watched real agency strategies fall apart under first-contact pressure-testing and wanted a way to catch those failures before clients did. The Decision Validation Engine exists because executives need verdicts, not essays. Research Symphony has a four-stage pipeline - retrieval, pattern analysis, critical validation, actionable synthesis - because real research is never one pass. Suprmind was designed by someone who needed it to actually work on actual problems. Not a demo. Not a prototype. A tool his agency uses daily on client deliverables. Teaching, Writing, Speaking The same background that informs Suprmind's design also shows up in public work. Principal SEO lecturer at Belgrade's Digital Communications Institute since 2013. Author of The Good Book of SEO in 2020. Member and contributor to the Forbes Agency Council, with pieces on client reporting quality, mobile-first advertising, and brand building. Author at BrandingMag, and regular speaker at regional and international digital marketing conferences. None of those credentials make Suprmind work better. What they make clear is the kind of builder behind it. Someone who has spent fifteen years teaching, writing about, and publicly defending how this work actually gets done. The Suprmind Bet The bet is straightforward. The professionals who make consequential decisions are not going to keep settling for one confident answer from one AI system. They are going to want validation. They are going to want to see where the models disagree. They are going to want the disagreements surfaced as a feature, not buried as noise. Suprmind is the infrastructure for that kind of work. If your work involves recommendations that carry weight, the tool was built for you. 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