Files
model-research/findings
Rodin af950a33d1 Add finding #60: Counterfactual event ordering analysis
New analytical lens testing what breaks when events arrive out of order.
- GPT-5: 30 findings via exhaustive permutation enumeration
- Opus: 19 findings with operational consequence tracing
- Sonnet: 17 findings with regulatory compliance focus

Key insight: GPT-5's reasoning enables systematic swap/delay/duplicate/
interleave enumeration. Sonnet uniquely connects to regulatory requirements.
2026-05-09 18:28:40 -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.