Files
model-research/findings
claw a65c471a3f finding 41: temporal ordering dependency analysis on kill-switch.md
New analytical lens testing whether models can identify sequential operations
where order matters but isn't mechanically enforced. GPT-5 finds systemic
gaps (WHY ordering matters), Opus finds inverted dangers (WHICH direction
is dangerous), Sonnet identifies themes without unique depth.
2026-05-07 12:47:03 -07:00
..

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.