Why Retrieval, Reasoning, and Execution Must Remain Separate AI Layers
Harshit-24 · reddit · 2026-07-27
Through a company-research test using Komo, the author shares an architectural insight: instead of seeking one all-powerful AI, it is more effective to separate retrieval, reasoning, and execution into distinct layers.
- Advantages of separation: Specialized systems (e.g., Komo for retrieval, Claude for reasoning, Codex for execution) make failure modes easier to trace and debug.
- Core risk: If the retrieval layer returns poor-quality sources (like broad homepage links), a reasoning model might polish these imperfect inputs into seemingly confident conclusions. An execution agent could then act on this misplaced certainty.
- Recommended workflow: Preserve sources during retrieval, separate confirmed facts from plausible interpretations, actively seek contradictory evidence, and mandate human review before handing off to the execution layer.
The author emphasizes that multi-agent stacks are promising, but only if uncertainty survives the handoff between tools.
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