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Multi-step Agent Loops
Advanced: chain agent steps in a plan-act-observe loop to run multi-step tasks independently.
Today's run
1
Multi-step Agent Loops
Students parse an authentic ReAct agent transcript line by line β tagging each line Thought, Action, Observation, or Final Answer β so they can see, before any instruction, that an agent answers by looping (reason, act, observe, retry) rather than producing one clever response.
2
Agent Loops
3
Orchestrate the Loop
Learn to decompose a goal into a planβactβobserve loop an agent runs, to make your penpal handle multi-step requests, in the context of giving it agency beyond a single reply.
4
Working Agent Loop
70β²
Can you make an AI agent loop until it actually finishes a real job β and prove it on a transcript?
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Seoul AI 2026
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