Failure PatternsIn build
Interactive Failure Pattern Map
Recurring failures become permanent guardrails.
What it is for
Failure Patterns in the proof lifecycle.
The Failure Pattern map records recurring ways AI-built software fails — false-green results, missing evidence, weak authorization, demo-to-real gaps, approval confusion, stale proof — and the research response each one triggers.
Interactive Failure Pattern MapInteractive illustration · sample data
Recurring failure patterns
AI-built app
Research responses
Guardrail added
Evidence required
Checker review
Gate / authorized review
Benchmark added
Future regression check
Failure · False-green result
Checks pass but the claimed user or system outcome is not proven.
Evidence needed
Human-opened outcome witness
Resulting safeguard
Benchmark added
Failures become guardrails.
Where it fits
Relation to the Evidence Lab.
Failure Patterns feed back into the Evidence Lab: each pattern becomes a new evidence requirement, a benchmark, or a guardrail that future work must pass.
Proof boundaries
What is not claimed.
- Interactive illustration · sample patterns, not incident telemetry.
- The central app is illustrative, not a live customer system.
- A recorded pattern is a research response, not a security claim.