Files

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claw 296bb21eb7 finding #42 : failure propagation chain analysis on system-overview.md

New analytical lens: failure propagation chains. Opus matched GPT-5's count
(10 findings each) while using 2.2x fewer tokens. Overview docs are ideal
for this lens. Sonnet produced zero unique insights.

2026-05-07 14:28:26 -07:00

2026-04-26-01-different-models-catch-different-things.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-04-26-02-cheap-model-narrow-lens-expensive.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-04-26-03-gpt5-times-out-on-complex.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-04-26-04-gpt5-defaults-to-delegation-claude.md

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2026-04-26-05-sonnet-is-fast-and-catches.md

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2026-04-26-06-single-agent-cant-handle-1000.md

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2026-04-26-07-emerging-role-assignments-pattern-not.md

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2026-04-27-08-bias-detection-all-models-catch.md

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2026-05-02-09-gapfinding-in-architecture-docs-gpt5.md

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2026-05-02-10-hiddenassumption-identification-gpt5s-reasoning-produces.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-05-02-11-hiddenassumption-identification-on-simpler-doc.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-05-02-12-sonnet-46-outperforms-expectations-on.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-05-03-07b-token-budget-matters-more-than.md

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2026-05-03-13-race-condition-identification-opus-excels.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-05-03-14-crosscomponent-interaction-analysis-gpt5-mini.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-05-03-15-design-coherence-analysis.md

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2026-05-03-16-specification-completeness-sonnet-45-produces.md

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2026-05-04-18-temporal-boundary-analysis-gpt5-is.md

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2026-05-04-19-union-coverage-test-gpt5-mini.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-05-04-20-invariant-violation-path-analysis-gpt5.md

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2026-05-04-21-reasoning-effort-lowmediumhigh-has-negligible.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-05-05-22-silent-correctness-failures-new-analytical.md

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2026-05-05-23-regulatory-compliance-analysis-gpt5-finds.md

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2026-05-05-24-design-improvement-proposals-gpt5-excels.md

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2026-05-05-25-contradiction-detection-new-task-type.md

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2026-05-05-26-missingfeature-identification-is-promptable-across.md

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2026-05-05-27-design-coherence-on-riskcontrolsmd-gpt5.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-05-05-28-crossdocument-consistency-analysis-new-task.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-05-05-29-adversarial-manipulation-analysis-new-task.md

refactor(findings): split ALL-FINDINGS.md into per-experiment files

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2026-05-06-31-spec-gap-analysis-continuous-risk-monitoring.md

finding #31 : spec-gap analysis on continuous-risk-monitoring.md

2026-05-06 08:27:00 -07:00

2026-05-06-32-testability-analysis-wash-sale-tracking.md

experiment #32 : testability analysis — new analytical lens

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2026-05-06-33-observability-gap-analysis-aggregation.md

feat: experiment #33 — observability gap analysis on aggregation.md

2026-05-06 11:49:05 -07:00

2026-05-06-34-information-flow-hazard-analysis.md

finding #34 : information flow hazard analysis on lot-accounting.md

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2026-05-07-35-adversarial-ensemble-critique-extend.md

finding #35 : adversarial ensemble (critique+extend) produces 30% more coverage

2026-05-06 21:29:17 -07:00

2026-05-07-36-compositional-interface-analysis.md

Finding #36 : Compositional interface analysis - two-document interface assumptions

2026-05-07 02:48:46 -07:00

2026-05-07-37-crossdoc-consistency-tightlycoupled-risk-docs.md

finding 37: cross-doc consistency on tightly coupled risk docs

2026-05-07 04:29:23 -07:00

2026-05-07-38-regulatory-compliance-gap-analysis.md

finding #38 : regulatory compliance gap analysis (FINRA/PDT domain knowledge test)

2026-05-07 07:47:11 -07:00

2026-05-07-39-narrow-framing-does-not-close-sonnet-gpt5-gap.md

finding #39 : narrow framing does not close Sonnet-GPT-5 gap for semantic consistency

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2026-05-07-40-silent-data-corruption-paths-financial-accounting.md

Finding #40 : Silent data corruption paths in financial accounting

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2026-05-07-41-temporal-ordering-dependency-analysis.md

finding 41: temporal ordering dependency analysis on kill-switch.md

2026-05-07 12:47:03 -07:00

2026-05-07-42-failure-propagation-chain-analysis.md

finding #42 : failure propagation chain analysis on system-overview.md

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README.md

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README.md

Model Findings — Analytical & Research Work

Tracking what actually works (and doesn't) when using AI models for research, analysis, bias detection, and document review — not coding.

Started: 2026-04-26

Context

We use multiple models in different roles: Claude Code (Opus/Sonnet) for generation, Sonnet + GPT-5 for independent dual review, smaller models for focused analytical tasks. Most public discussion is about coding. We found almost no published methodology for using models in analytical research tasks (searched 2026-04-26). That gap is why we're tracking this.

Each experiment lives in its own file. See individual finding files below.