Can this AI system architecture be approved?
Mesh Sentinel reviews dense AI system packets across context architecture, behavior specs, workflow rules, and diagnostics. It detects contradictions, missing operating rules, and behavior drift risks before humans approve the system.
Spark-to-System
Start with a product spark, build an Intelligence Hub, then monitor system coherence as it evolves.
Spec-Driven Development
Review specs and implementation artifacts against behavioral intent and operating rules.
Context Architecture Review
Review multi-document context architecture packets before stakeholder approval.
Repo Coherence Review
Compare existing repos against the intended system behavior and architecture decisions.
Sentinel Result
The sample packet intentionally contains a cross-document contradiction. Sentinel detects it and converts the review into approval blockers, stakeholder decisions, recommended tests, and traceable outputs.
Top Approval Blockers
These are the issues a human team must resolve before approval.