Trust-aware release decisions for AI changes.
View case study →Public source
I build dependable AI systems, developer infrastructure, and the evidence needed to trust them.
See the work →When required evidence fails, both pass and fail can be dishonest. Dailies keeps infrastructure failure separate from the release decision.
Read the note →Trust-aware release decisions for AI changes.
Architecture, evaluation, and implementation help for teams building AI products and developer infrastructure.
A security tool for agent capabilities needs a hard boundary. Casefile reads the artifact, reports static evidence, and never runs the thing under review.