How We Verify 215+ AI Deliverables Without Losing Our Minds

An internal team created a five-point protocol to verify AI deliverables before they are accepted as complete.

The checks look for false claims, stale citations, security flaws, hardcoded credentials, and “theater” or superficial work.

The process was turned into a commercial Verification-as-a-Service offering for client use.

The article argues that AI outputs can appear finished while still being unproven, unsafe, or unreliable.