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# AI Workflow Mapping Example
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This example shows the Looper artifact shape for mapping customer process notes
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into an agent-ready workflow.
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Compile after editing:
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```bash
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python ../../scripts/looper.py compile loop.yaml --out loop.resolved.json --render LOOP.md --session-prompt RUN_IN_SESSION.md
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```
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The easy path is to ask the current LLM session to follow `RUN_IN_SESSION.md`.
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Use the Python runner only when you want to run the loop outside the LLM
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session, after reviewing model invocations and privacy egress:
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```bash
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python run-loop.py
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```
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