Files
model-research/findings
claw c1ca8cfe46 finding #52: degraded-mode propagation analysis (new lens)
Cross-document boundary analysis: signal-lifecycle + buying-power + risk-controls.
Opus decisively outperforms GPT-5 (10 vs 7 findings) — first inversion observed.
New lens finds a distinct class of bug: partially-degraded paths that mimic normal behavior.
2026-05-08 14:29:29 -07:00
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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.