Build a Specialized AI Team for Your Industry
Turn five frontier AI models into trained experts. Define roles, upload reference documents, and watch the Knowledge Graph compound your team’s intelligence over time.
15 minutes to set up. Gets smarter with every conversation.
General-purpose AI gives you general-purpose answers
You ask ChatGPT to review a contract. It gives you a generic checklist that could apply to any agreement. You need domain-specific analysis – liability exposure for SaaS vendors, indemnification caps in your industry, payment terms that match your standards.
Every conversation starts from zero. The AI doesn’t remember what you approved last week, what red flags you always catch, or what your company’s risk tolerance is. You re-explain context every single time.
Suprmind solves this. You build a project once – with your context, your standards, and your reference documents – and every conversation starts with full knowledge. Five AIs work as a team, each with a specialized role. The Knowledge Graph learns from every analysis, so your 50th review is smarter than your first.
Build your expert panel in 15 minutes
Six steps. One-time setup. Permanent expertise.
Create Your Project with a Specific Purpose
Open Suprmind and click New Project. Write a clear, specific description – this becomes the foundation for everything else.
WEAK DESCRIPTION
Legal stuff
STRONG DESCRIPTION
Commercial contract review for B2B SaaS agreements. Focus areas: liability clauses, indemnification terms, payment schedules. Our company is the vendor. Delaware law unless specified.
Generate Project Instructions with Prompt Adjutant
Open the Prompt Adjutant panel. Dump your requirements in plain language. Get back structured instructions that every AI will follow.
YOUR INPUT
I need system instructions for a project focused on commercial contract review. We’re the software vendor. Create instructions that define our objective, what quality looks like, what to always check, what to never do, and the output format we want.
ADJUTANT OUTPUT
PROJECT: Commercial Contract Review (B2B SaaS Vendor)
OBJECTIVE:
Review commercial contracts where our company serves as software vendor. Identify risks, suggest improvements, ensure compliance with standard terms.
ALWAYS:
– Flag unlimited liability exposure
– Check indemnification is mutual and capped
– Verify payment terms match our standard (Net 30)
– Note any auto-renewal clauses
– Highlight jurisdiction if not Delaware
NEVER:
– Approve contracts without flagging liability issues
– Skip fine print in exhibits/schedules
– Assume standard terms without verification
OUTPUT FORMAT:
1. Risk Summary (High/Medium/Low items)
2. Recommended Changes (specific redlines)
3. Questions for Legal Counsel
4. Overall Assessment (proceed/negotiate/reject)
Add Instructions to Your Project
Open your project → Click Settings (gear icon) → Select Advanced Settings → Find Project Instructions → Paste → Save.
Now every AI in every conversation within this project follows these rules automatically.
Give Each AI a Specialized Role
Go to Project Settings → AI Personalities. Use the Prompt Adjutant to generate role-specific instructions for each AI.
| AI | Specialized Role |
|---|---|
| Grok | First-pass scanner. Flag unusual terms. Check for recent regulatory changes. |
| Perplexity | Precedent researcher. Find relevant case law. Verify industry-standard terms. |
| Claude | Risk analyst. Deep-dive on liability, indemnification, IP assignment. Conservative. |
| GPT | Structure checker. Ensure all sections present. Verify internal consistency. |
| Gemini | Synthesis lead. Pull together perspectives. Draft executive summary. |
Upload Your Reference Documents
Your AI team needs training materials. Go to Project Files and upload:
Standards & Guidelines
Review checklists, acceptable terms, red-line thresholds
Examples of Good Work
Approved contracts, template agreements, playbooks
Reference Materials
Industry glossaries, compliance summaries, company policies
Start Working
Create a new thread. Attach the document that needs review. Ask your question.
Review this Master Services Agreement. Our company (Acme Software Inc.) is the vendor. Flag risks, suggest changes, and provide an overall assessment.
All five AIs respond in sequence. Each one follows your Project Instructions, plays their specialized role, references your uploaded documents, and sees what the other AIs said before them.
Your team gets smarter with every conversation
The Knowledge Graph learns from every analysis. Patterns emerge. Decisions accumulate. Your 50th review has context your 1st review couldn’t.
Solid Foundation
You upload a contract. The AIs give analysis based on your Project Instructions and reference documents. Good quality, but still relatively generic.
Pattern Recognition
After reviewing 15 contracts, the Knowledge Graph knows your standard acceptable terms, recurring issues with specific vendors, which clauses always get negotiated, and your company’s risk tolerance.
Institutional Memory
The team anticipates your needs. Flags patterns from past reviews automatically. Knows which issues escalated to legal counsel. References previous negotiations with the same counterparty. Suggests redlines based on what worked before.
Five AIs catch what one would miss
When Claude flags a liability risk, GPT might note that the cap is actually defined in Exhibit B. Claude acknowledges and updates its assessment. This self-correction happens naturally because each AI sees the full conversation history.
Perplexity might cite case law that supports a more aggressive negotiating position. Grok might flag a recent regulatory change that affects the entire analysis. Gemini synthesizes the debate into a clear recommendation.
You get the benefit of multiple expert perspectives without managing multiple consultants. The AIs debate, correct each other, and converge on the strongest analysis – all in one conversation.
Build specialized teams for any industry
The same 6-step process works across domains. Click any guide below for detailed setup instructions, role assignments, and reference document recommendations.
Legal Teams
Contract review, legal research, compliance analysis. Upload standard agreements, playbooks, and firm guidelines.
Medical Research
Literature synthesis, protocol review, clinical decision support. Upload guidelines, approved studies, institutional policies.
Investment Analysis
Due diligence, risk assessment, market analysis. Upload investment criteria, past deal memos, valuation templates.
Software Development
Code review, security audit, architecture design. Upload style guides, approved patterns, past post-mortems.
Research & Academia
Literature review, methodology critique, grant writing. Upload key papers, methodology standards, successful proposals.
Content & Editorial
Brand voice enforcement, editorial review, content strategy. Upload style guides, approved examples, tone documentation.
Getting the most from your specialized team
Use @mentions for speed
Not every task needs all five perspectives. Quick structure check? @gpt. Need precedent research? @perplexity. Full analysis? Let all five respond. Non-mentioned AIs stay in context but don’t respond – faster, cheaper, still smart.
Update instructions when patterns change
If the AIs keep missing something, update your Project Instructions. If your company policy changes, update the instructions. Use the Prompt Adjutant each time – tell it what needs to change and it’ll revise the full instruction set.
Upload examples of success
The AIs calibrate to your standards by seeing what “good” looks like. After a successful negotiation, upload the final agreement. After a well-received analysis, save it as a reference. Your team learns what quality means to you.
Let the Knowledge Graph do its job
You don’t need to manage the Knowledge Graph directly. It learns automatically from every conversation – extracting entities, relationships, decisions, and patterns. After 10-15 substantial conversations, you’ll notice the AIs starting to reference past context unprompted.
The 6-Step Setup
Your first analysis takes 15 minutes to set up.
Your 50th analysis has a team that knows your preferences, your history, and your standards.
Build your first specialized AI team.
15 minutes to set up. Gets smarter with every conversation.