Orchestrator–Workers: let a lead model plan the subtasks at runtime instead of hardcoding them
Article summary
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The previous pattern I built, parallelization, fans one input out to a fixed set of subtasks you wrote in advance — headline, features, FAQ, tweet, always those four. But you don't always know the pieces until you see the input: a bug fix wants diagnose → test → patch , a comparison wants one worker per competitor you decide is relevant , a trip wants a track per day . Orchestrator–Workers makes the decomposition itself a model call. I built an interactive walkthrough of the loop; here's the…
1Key Takeaways
- The previous pattern I built, parallelization, fans one input out to a fixed set of subtasks you wrote in advance — headline, features, FAQ, tweet, always those four.
- But you don't always know the pieces until you see the input: a bug fix wants diagnose → test → patch , a comparison wants one worker per competitor you decide is relevant , a trip wants a track per day .
- Orchestrator–Workers makes the decomposition itself a model call.
- I built an interactive walkthrough of the loop; here's the….
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that the previous pattern I built, parallelization, fans one input out to a fixed set of subtasks you wrote in advance — headline, features, FAQ, tweet, always those four.
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