ChainMail

ChainMail Council AI writes code faster than humans can review it. There's no governance layer — no accountability, no audit trail, no way to know what changed, why, or who approved it. Council is that layer. Before any AI-generated change touches your codebase, a council of specialized models deliberates and votes. Codex — running inside JetBrains — reads the task, selects the right agents, and fires them in parallel against Nebius Token Factory: Qwen3 235B, Nemotron Ultra 253B, Nemotron 120B. Three independent MoE models. Three votes. A human verifies with a FIDO2 hardware key. Gemma on a sovereign VM synthesizes the consensus. Every deliberation writes to MMCP Bubble Memory — a pgvector store on our H100, semantically searchable, permanently retrievable. Every audit entry is SHA-256 hash-chained to the one before it. You can't delete a decision without breaking the chain. Eight pillars: shared context · sovereign memory · BYOK · identity · accountability · retrievability · reversibility · ledgerbility Stack: Nebius H100 VM · Nebius Token Factory (MoE) · NousResearch Hermes Agent · MMCP Bubble Memory · Supabase Edge Functions · OpenAI Codex (JetBrains) · FIDO2 Bkey · Snap Spectacles AR This is the infrastructure layer that enterprise AI has been missing. Not a chatbot. Not a copilot. Governance. missing the CMO = Gemma 4 + Apify + Mind AI + Vis-AI-Vis for customer discovery interviews. because knowing what and why is equally as important as knowing when and how. and IDEALLY for WHO!!!! apify pulls all social, mindsAI builds ICP, vis-ai-vis conducts the face to face with ai in the middle interviews. equals a governed result with the council. and creates the GTM! Apify → pulls social signals (Reddit, X, LinkedIn, reviews) Mind AI → builds ICP from those signals Vis-AI-Vis → conducts AI-mediated face-to-face customer interviews Gemma 4 → synthesizes into CMO brief (WHO + WHAT + WHY) ↓ CMO council vote — evidence-backed, not inferred ↓ Council consensus → governed GTM