Agentic AI: the failure-mode catalog every team needs
Loops, hallucinated tools, infinite retries, prompt injection, schema drift. Name them, log them, and you'll spot them in production.
11 min · Reviewed 2026
The premise
Agent incidents fall into a small number of recurring shapes. A team that names them and logs against the names recognizes the next incident in minutes instead of days.
What AI does well here
Emit structured logs when given a logging tool
Follow a documented retry policy when given one
Surface unexpected tool errors instead of swallowing them
What AI cannot do
Recognize that it's stuck in its own loop
Distinguish prompt injection from legitimate user input
Diagnose its own root causes during an incident
End-of-lesson check
10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-agentic-failure-modes-catalog-r7a1-creators
What is the main idea of "Agentic AI: the failure-mode catalog every team needs"?
Loops, hallucinated tools, infinite retries, prompt injection, schema drift. Name them, log them, and you'll spot them in production.
Use AI as the final authority for the whole decision
Avoid checking the answer once it sounds polished
Focus only on speed instead of judgment
Which concept is most central to "Agentic AI: the failure-mode catalog every team needs"?
observability
failure modes
incident patterns
unrelated shortcut
Which use of AI fits this topic best?
Recognize that it's stuck in its own loop
Let the AI decide what matters without your review
Emit structured logs when given a logging tool
Use the answer before checking whether it fits the situation
Which limitation should you watch for in this topic?
Emit structured logs when given a logging tool
Explain the topic in plain language
Organize a draft for human review
Recognize that it's stuck in its own loop
What should a careful learner remember about "Try this starter catalog"?
Use "Try this starter catalog" as a reminder to verify the AI output before anyone relies on it.
Skip the context so the tool can guess faster
Treat the output as private even after sharing it online
Use the answer without checking the source
You want to use AI after this lesson. What is the safest next step?
Act immediately because the AI answer is written clearly
Use AI for drafting and comparison, but verify before publishing or relying on it.
Hide uncertainty so the final answer looks cleaner
Use private or sensitive details before checking permission
How should AI output about failure modes be treated?
As proof that no other source is needed
As a replacement for context, consent, or expert review
As a draft or helper output that still needs human judgment and verification
As something that becomes correct when it sounds confident
Name one way to verify an AI answer about failure modes.
Which action would help you apply "Agentic AI: the failure-mode catalog every team needs" responsibly?
Distinguish prompt injection from legitimate user input
Use the tool to avoid thinking through the tradeoff
Keep going even if the output conflicts with a trusted source
Follow a documented retry policy when given one
Which choice is a bad use of AI for this lesson?
Distinguish prompt injection from legitimate user input
Emit structured logs when given a logging tool
Ask for a plain-language explanation of observability
