MaddBoard Overseer
MaddBoard Overseer is an AI decision system for high-risk infrastructure.
Core trick
Runs 15 evidence probes, then seven agents debate recommendations and a 4-pass compiler validates output against strict schemas before human approval.
Description
MaddBoard Overseer is an AI decision system for high-risk infrastructure. It replaces opaque automation with evidence-backed, agent-debated recommendations that require human approval.
Value:
AI-Native: Orchestrates complex, evidence-gated workflows.
Access: Brings expert SRE reasoning to small teams.
Control: Amplifies human judgment via safety gates.
Built & Demonstrated:
Pipeline: 15 probes across 3 tiers; standardized output.
Debate: 7 agents (6 Hats method) running parallel reasoning.
Compiler: 4-pass validation with strict schemas.
Mesh: 3-session coordinated architecture.
Live: Real-world disk assessment with 100% evidence citation.
The linked repo returns 404, so it was deleted or made private.