 Rodin
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9f15047892
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Finding #62: Data integrity analysis on signal-lifecycle.md
New lens: data integrity analysis — testing whether data survives flow
through systems with correct identity, values, and auditability.
Key insights:
- GPT-5 excels at audit/forensics gaps (idempotency, ordering, provenance)
- Opus finds semantic violations (phantom group, quantity mutation ambiguity)
- Sonnet identifies operational races (restart scenarios)
Document: gargoyle signal-lifecycle.md (102 lines)
Models: GPT-5 (13 findings), Opus (6+), Sonnet (6)
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2026-05-09 22:26:46 -07:00 |
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