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Where to Spend the Reasoning Model
Your deep research pipeline has a fixed compute budget and someone proposes: "let's run every stage on the reasoning model — it's a high-stakes report, we shouldn't cheap out." Push back on this using the specific stage-by-stage shapes in this pipeline.
- Name two stages where a reasoning model earns essentially nothing over a cheap model, and explain the task-shape reason why.
- Name the one stage you would defend spending the reasoning model on even under real budget pressure, and justify it in terms of error cost, not just task difficulty.
- A sub-agent's own analysis step is sometimes worth escalating to a reasoning model and sometimes not, even though every sub-agent runs the "same" step. What's the concrete signal that should decide it per sub-agent, rather than deciding it once for the whole stage?
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