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 → implementation → 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:
- Clarify intent → Structured requirements
- Create traceable requirements → Machine-verifiable artifacts
- Build against approved requirements → Implementation with traceability
- Independent verification → Red Team testing
- Evidence bundles → Compliance-ready audit trails
- Human approval gates → Final release decision
Happy to discuss further and explore integration possibilities!
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 → implementation → 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:
Our approach:
Agile V enforces a verified engineering loop:
Happy to discuss further and explore integration possibilities!