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First Agent Loop in a Hosted Tool

Delegate one real task to Claude Code / ChatGPT agents / Cursor — and supervise like a pro.

AI Builder · Advanced · 15 min read · 4 quiz questions

By Ronan Liedmeier, fractional head of growth and course author · Reviewed 13 October 2026

What you will learn

  • The agent loop
  • Picking a first task: the BVR test
  • Setup before you delegate
  • The delegation brief
  • Supervising without micromanaging

Lesson preview

A hosted agent runs a loop — plan, act, observe, adjust, repeat — until a task is done, which means your job shifts from doing the work to briefing and supervising it well. The first delegation should pass the BVR test (bounded, verifiable, reversible), because agents amplify the quality of your brief, for better or worse. A hosted agent — Claude Code, ChatGPT's agent mode, Cursor — doesn't just answer once; it runs a loop: plan, act, observe, adjust, repeat, until it decides the task is complete or it hits a wall. This is fundamentally different from a chat exchange, where you ask and it answers once. The loop means the agent can course-correct mid-task based on what it observes, which is both the power and the risk. Understanding the loop changes how you interact with it: instead of crafting one perfect prompt, you're setting up a good starting brief and then supervising a process that unfolds over minutes, not seconds. Not every task is a good first delegation. Use the BVR test: is it Bounded (confined to a small, well-defined scope — one folder, not your whole drive), Verifiable (you can spot-check the output and know if it's right), and Reversible (if it goes wrong, nothing real is lost)? A task that fails any of these three should wait until you've built more trust and better briefing habits. A task like building an index of 90 blog post files — read-only, one folder, spot-checkable rows — passes all three. A task like "clean up and reorganize my entire Google Drive" fails all three at once.

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Key terms in this module

Agent loop
An agent loop is the repeating cycle an AI agent runs to finish a task: it plans a step, calls a tool, reads the result and decides whether to continue or stop. The loop ends when the goal is met or a limit is reached.
AI agent
An AI agent is an AI system that works toward a goal by choosing its own next steps: it picks a tool, uses it, looks at the result and repeats until the task is done. You set the goal and the limits, and the agent works out the path.

Frequently asked questions

Who is "First Agent Loop in a Hosted Tool" for?
This Advanced module in AI Builder is for learners who already use AI daily and are ready to build their first real workflows and integrations. It takes about 15 minutes and ends with a 4-question quiz.
Do I need to code?
No traditional programming is required. You will use no-code and low-code tools, and occasionally paste a short snippet that the lesson explains line by line.
What comes before and after this module?
Before "First Agent Loop in a Hosted Tool", take "Connecting One MCP Server (Consumer)" (module 8 of AI Builder). Afterwards, continue with "Structured Output & JSON Mode".

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