ai-decomposing-tasks

Name: ai-decomposing-tasks
Rating: 5 (6 reviews)
Author: lebsral

Break a failing complex AI task into reliable subtasks. Use when your AI works on simple inputs but fails on complex ones, extraction misses items in long documents, accuracy degrades as input grows, AI conflates multiple things at once, results are inconsistent across input types, you need to chunk long text for processing, or you want to split one unreliable AI step into multiple reliable ones.

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Decompose a Failing AI Task

Guide the user through splitting a single unreliable AI step into multiple reliable subtasks. The insight: when a single prompt fails on complex inputs, restructuring the task — not just tweaking the prompt — is often the fix.

Step 1: Diagnose why single-step fails

Ask the user:

What's the task? (extraction, classification, generation, etc.)
When does it work? (simple inputs, short text, single items)
When does it fail? (long documents, ma

[Description truncada. Veja o README completo no GitHub.]

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