The Workflow vs Agent Decomposer
2 fill-in slots · from The AI Prompt Handbook for AI Agents & MCP
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0/2 filledThe Workflow vs Agent Decomposer
Help me split this problem into the parts that need an agent and the parts that do not. The full problem: [DESCRIBE] Current design: [DESCRIBE, OR "none yet"] Break it into steps. For each step, classify: - DETERMINISTIC: plain code, no model - SINGLE CALL: one model call with a fixed prompt - CONSTRAINED: model call with structured output, validated - AGENTIC: model decides the next action from the result of the last one Then produce: 1. The decomposition, with each step classified and justified 2. Which steps I have wrongly classified as agentic that are actually deterministic 3. The control flow: what my code orchestrates vs what the model decides 4. Where the boundaries between deterministic and agentic parts are — these are where errors accumulate 5. What each boundary must validate 6. A simpler version of this design that would still deliver most of the value The default should be: as little agentic control flow as the problem genuinely requires.
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