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