Many deployed AI systems have undocumented failure modes where guardrails silently disable. Operators need realtime verification of constraint enforcement.
Build a monitoring dashboard that audits model outputs against configured boundaries, alerting on drift or disablement. Focus initially on common LLM constraints like toxicity filters.
Sell to enterprises running in-house models as part of their MLOps stack.
MVP: CLI tool scoring API responses against provided guidelines with simple pass/fail metrics.
Risk: Niche audience may prefer building in-house solutions.