Developer builds multi-layer AI verification system after Claude endorsed fabricated data

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A developer working with Claude AI documented a series of verification failures, including a fabricated efficiency statistic that shipped and a test suite that never failed because it was silently testing a mock instead of real code. These incidents prompted the creation of a structured 'verification ladder' — a multi-layered checking system organized by how quickly different failures tend to surface. The system separates Claude.ai (used for ideation and strategy) from Claude Code (used for execution), recognizing that each layer requires verification at different speeds and granularities. The developer argues that AI-assisted confidence decays silently across multiple timescales — within a single change, a session, and across weeks — and that no single check can catch all failure modes. The resulting field guide outlines practical checks from fastest to slowest, built from real workflow failures rather than theoretical best practices.

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