Lesson 1351 of 1596
AI and agent failure mode catalog
Catalog the ways your agent fails — loops, hallucinated tools, scope creep — so you can mitigate each one.
Creators · Agentic AI · ~7 min read
The premise
Every agent has recurring failure modes. Naming them turns 'it broke again' into a bug list you can actually close.
What AI does well here
- Categorize past failures from logs.
- Propose a one-line mitigation per mode.
- Suggest tests that reproduce each.
What AI cannot do
- Eliminate emergent behavior.
- Predict every new failure mode after a model swap.
- Replace ongoing monitoring.
Key terms in this lesson
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
- 1Ask AI to explain failure mode in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "AI and agent failure mode catalog" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check loop against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
10 questions · Score saves to your progress.
Tutor
Curious about “AI and agent failure mode catalog”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Builders · 7 min
Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)
Without a 'done when X' rule, agents loop until they hit the token limit. Always set the exit.
Builders · 7 min
When agents get stuck in loops (and how to stop them)
Runaway loops eat your wallet — set hard limits before you press run.
Builders · 7 min
How AI Agents Fail (And How to Catch Them)
The specific ways agents go wrong and the habits that catch them early.
