Lesson 1088 of 1455
Why AI Agents Fail (and How to Catch It Early)
Agents fail in predictable ways: looping forever, faking success, going off-topic. Knowing the patterns helps you stop them fast.
Builders · Agentic AI · ~4 min read
The big idea
The classic failures: infinite loops (same action over and over), confabulation (claiming success without checking), goal drift (solving a different problem), and tool misuse (calling the wrong API). Watch for them or your agent will burn budget and ship nothing.
Some examples
- Claude Code edits the same file 8 times trying to fix one bug — that's a loop, kill it.
- An agent says 'task complete!' but never ran the test — confabulation.
- You asked for a login form and the agent built a whole auth system — goal drift.
- An agent calls the search tool with the user's password as the query — tool misuse.
Try it!
Run an agent on a task. Set a max of 10 steps. Read its action log when it finishes (or hits the limit). Spot which failure mode it's closest to.
Key terms in this lesson
Practice this safely
Try this with a school, hobby, or family example where the stakes are low. Use the AI output as a draft you can question, not as the final answer.
- 1Ask AI to explain agent failure in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "Why AI Agents Fail (and How to Catch It Early)" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check infinite loop against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
8 questions · Score saves to your progress.
Lesson help
Questions are best handled with a grown-up here.
For this age range, Tendril keeps freeform AI chat paused until parent/guardian consent and child-safe moderation are fully verified. Use the quiz, notes, and related lessons below, or ask a parent, guardian, teacher, or librarian to work through the question with you.
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