New analytical lens examining implicit assumptions about broker APIs,
market behavior, network conditions, and timing.
Document: gargoyle's feeds-and-instruments.md (115 lines)
Models: GPT-5 (24 findings), Opus (15), Sonnet (15)
Key insight: External system assumptions benefit more from reasoning
depth than internal architecture analysis. GPT-5's exhaustive coverage
of broker implementation details and network failure modes justifies
the token cost for critical external interfaces.
Union of all models finds ~30 distinct assumptions vs ~24 max single model.