Files
model-research/findings
claw 5ee0cff3a8 experiment #55: state reconstruction correctness — new analytical lens
Tests whether event stream supports time-travel queries, retroactive truth,
and audit reconstruction. All three models found CRITICAL issues in a document
that passed previous lenses. Key insight: distinguishes telemetry events from
sourcing events.

Document: gargoyle corporate-actions.md
Models: GPT-5, Sonnet 4.6, Opus 4.6
Lens validation: model-stable, domain-independent, architecturally significant
2026-05-09 05:06:45 -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.