Rodin
4a69a99d05
New analytical lens: where data propagation creates stale, contradictory, or misleading views for different consumers. Key result: highest model convergence (45% common ground) due to document's explicit failure mode table. GPT-5 finds event-level provenance gaps; Opus identifies strategy attribution dimension. Sonnet adds zero unique value. Two-model stack (GPT-5 + Opus) optimal.
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.