Rodin
ee3063997a
New task type: specification gap/completeness analysis (vs adversarial gaming). GPT-5 dominates count (25 findings), Opus produces best single insight (realized P&L non-reversibility violates de-escalation model assumption). Sonnet adds no unique value for this task type — skip for completeness audits.
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.