← AI Agents and Automation That Finish Work

Lesson 4 of 10

Recovering from tool and model failures

Lesson 4 of 10 · AI Agents and Automation That Finish Work

In this lesson. Turn errors into retries, fallbacks, or a clean handoff to a human.

What you will learn

  • Retry versus skip versus abort
  • Handoff copy for a human
  • Never inventing a successful tool result

Walkthrough

Tools time out. Models refuse. This lesson builds a recovery table: retry, skip, ask a human, or abort. You will also write the user-visible message for each path. An agent that fails loudly is safer than one that invents a success.

Work through the ideas in order. After each point, pause and connect it to a task you already do — a document, a workflow, or a feature you own. The goal of AI Agents and Automation That Finish Work is usable skill, not a pile of notes.

If something is unclear, rewrite it in your own words before you continue. Teaching the step back to yourself is the fastest way to see gaps.

Practice

Fill a recovery table for three failures you expect in your automation.

Keep the first attempt small. A finished example you can reuse beats a perfect plan you never run.

Check your understanding

  • Can you explain the goal of this lesson in one sentence to a teammate?
  • Where would you apply “Retry versus skip versus abort” in your own work this week?
  • What would you change on a second pass of the practice?

Next. Continue to the following lesson when the practice has a real artifact, even a rough one.