# Finding 7: Emerging role assignments (pattern, not conclusion)

**Date:** 2026-04-26 (one day of intensive work — treat as hypothesis)

- Opus (via Claude Code): complex generation needing deep project context.
  Rich context: CLAUDE.md, full codebase access, design docs. Broad mandate.
- Sonnet: parallel volume work (5 subagents drafting simultaneously).
  Rich context per section, constrained output scope.
- GPT-5: independent analytical review. Rich context (diff + files + issue).
  Best when task is bounded and explicit.
- GPT-4.1 Mini: focused narrow analysis (bias detection). Minimal context,
  precise question. Cheap and fast.
- **Takeaway:** The role assignment matters, but so does the context shape.
  Opus gets broad context + broad mandate. Sonnet gets broad context +
  narrow scope. GPT-5 gets rich context + explicit task. GPT-4.1 Mini gets
  minimal context + laser question. We haven't tested swapping these
  combinations — that's where the real learning will come from.