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Agile V: Complementary framework for traceable AI developmentΒ #6

@KochC

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@KochC

This is excellent work on deterministic AI verification! The focus on fail-closed architecture and formal verification aligns perfectly with what we're building in Agile V.

We've developed a complementary framework focused on traceable requirements β†’ implementation β†’ verification loops for AI-assisted development:

The combination of your Z3 prover approach with our human-in-the-loop gates could create a powerful verification stack. Would love to explore potential collaboration or cross-referencing in our documentation.

Key overlap areas:

  • Hallucination detection through evidence bundles
  • Deterministic verification (your formal methods + our traceability)
  • MCP integration for secure AI workflows

Our approach:

Agile V enforces a verified engineering loop:

  1. Clarify intent β†’ Structured requirements
  2. Create traceable requirements β†’ Machine-verifiable artifacts
  3. Build against approved requirements β†’ Implementation with traceability
  4. Independent verification β†’ Red Team testing
  5. Evidence bundles β†’ Compliance-ready audit trails
  6. Human approval gates β†’ Final release decision

Happy to discuss further and explore integration possibilities!

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