TeamMesh
Join pilot
Build teams by how people think
not how they interview
TeamMesh analyzes your AI conversation history to create
verified cognitive fingerprints and assemble high-coherence teams.
verified cognitive fingerprints and assemble high-coherence teams.
Join research pilot
Cognition analysis
Measure analytical depth, abstraction level, and learning speed from real AI conversations.
Communication patterns
Analyze clarity, density, async tolerance, and feedback cadence to predict collaboration fit.
Team coherence
Compute TeamFit scores based on 60% communication, 30% capability, 10% diversity balance.
Research backed
From cognitive truth to team success
Teams assembled through Persona Proofs collaborate
with measurably higher coherence and lower friction.
with measurably higher coherence and lower friction.
Acute
Acute
Acute
Acute
Acute
Acute
Acute
Acute
Core features
Measure thinking, assemble teams, build systems
From authentic cognitive data to verified team compatibility
TeamMesh replaces performance theater with cognitive truth.
TeamMesh replaces performance theater with cognitive truth.
Cognitive fingerprints
Extract reasoning patterns from your ChatGPT or Claude history to create verified Persona Proofs.
Team compatibility
Compute TeamFit scores that predict collaboration success based on communication coherence.
Team updates flow seamlessly
Hi everyone
How about this instead?
Privacy-safe analysis
Your conversation data stays private. Only structured cognitive metrics are shared as JSON proofs.
Reasoning index (0–200)
Quantify thinking quality and coherence with a standardized metric that replaces résumés.
How it works
From authentic thinking to verified teams
Your AI conversations reveal how you actually think.
We turn that cognitive exhaust into team-building truth.
We turn that cognitive exhaust into team-building truth.
Export your AI history
Download your ChatGPT or Claude conversation
history and run our standardized Persona Proof prompt (v0.5).
Generate cognitive fingerprint
The LLM analyzes your reasoning patterns to extract
cognition, communication, and collaboration metrics as JSON.
Join compatible teams
We compute TeamFit scores and assemble teams
with verified cognitive coherence and complementarity.
"I was skeptical that AI conversations could reveal my thinking patterns, but the Persona Proof was eerily accurate. It captured nuances about my reasoning style that I've never articulated."
Dr. Sarah Chen
Research Participant, AI Lab Lead
Research Pilot
Join the research pilot
We're currently in research phase with 30-40 participants.
Help validate cognitive team assembly and shape the future of hiring.
Help validate cognitive team assembly and shape the future of hiring.
Research Pilot Program
Join our validation study to help prove that cognitive fingerprints predict team success better than traditional interviews.
Free
during research phase
Apply to join pilot
What you'll get
Generate your Persona Proof from AI chat history
Receive detailed cognitive analysis report
Participate in team compatibility experiments
Access to research findings and insights
Priority access when we launch publicly
Shape the future of cognitive team building
Note: This is active research. We're validating the correlation between Persona Proof metrics and actual team performance. Your participation helps prove this approach works.
Frequently Asked Questions
Learn how cognitive fingerprints work,
and how TeamMesh builds better teams.
and how TeamMesh builds better teams.
TeamMesh is a cognitive team assembly platform that analyzes AI conversation history to create verified Persona Proofs. It's designed for AI-native organizations, hiring managers, and teams looking to move beyond traditional interviews and résumés.
Persona Proof analyzes your long-term ChatGPT or Claude conversation history using a standardized LLM prompt (v0.5). It extracts cognitive patterns including analytical depth, communication style, collaboration preferences, and generates a reasoning index (0-200). The result is a privacy-safe JSON object that serves as your cognitive fingerprint.
Absolutely. Your raw conversation data never leaves your control. Only structured cognitive metrics are extracted and shared as JSON proofs. We use privacy-safe analysis that focuses on thinking patterns, not personal content. You maintain full ownership of your data.
TeamFit is a compatibility score that predicts how well team members will collaborate. It's calculated using 60% communication coherence, 30% capability complementarity, and 10% diversity balance. Higher scores indicate teams likely to work together with less friction and higher productivity.
Join our pilot by signing up and exporting your ChatGPT or Claude conversation history. Run the Persona Proof prompt on your data, upload the resulting JSON, and complete a short questionnaire. We'll analyze correlations between cognitive metrics and real team performance.
System Closure is the theory that teams with coherent communication patterns produce coherent software systems. When human cognitive topology is sound, technical architecture mirrors that order with clear interfaces, stable abstractions, and long-term maintainability.
Ready to build better teams?
Join our research pilot and help validate the future
of cognitive team assembly and AI-native hiring.
of cognitive team assembly and AI-native hiring.
Join research pilot
TeamMesh
Cognitive infrastructure for AI-native teams
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