Multi-step Agent Loops
orchestrate-agent-steps · build
Aim
Learn to sequence dependent agent steps in a plan-act-observe loop, enabling autonomous task execution, to produce a multi-step agent loop.
In one line
Advanced: chain agent steps in a plan-act-observe loop to run multi-step tasks independently.
Stage run
| # | Stage | Type | Aim | Min |
|---|---|---|---|---|
| 1 | Multi-step Agent Loops | arcade | Students parse an authentic ReAct agent transcript line by line — tagging each line Thought, Action, Observation, or Final Answer — 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 | dossier | ||
| 3 | Orchestrate the Loop | workbench | Learn to decompose a goal into a plan–act–observe 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 | larp | Can you make an AI agent loop until it actually finishes a real job — and prove it on a transcript? | 70 |
Evidence artefact
Working agent loop