Good agents don't give up — they try a different way.
5 min · Reviewed 2026
The big idea
AI agents don't always succeed on the first try. When something goes wrong, a good agent tries again — maybe a different way. This is called retrying. It's like trying a new path when one is blocked.
Some examples
If a website doesn't load, an agent waits and tries again.
If a search gives no results, an agent uses different words.
If a step fails, the agent might skip it and come back later.
If nothing works, the agent tells you what happened.
Try it!
Think of a time you got stuck on a puzzle or video game. Did you try the same thing over and over? Or did you try something new? That's the agent way!
End-of-lesson check
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-explorers-agentic-AI-and-trying-again
An AI agent tries to book a flight but the website is down. What should the agent do?
Give up and report failure immediately
Ask a human to book the flight instead
Wait a moment and try again later
Close the browser and forget about it
What does it mean when an AI agent "retries"?
The agent tries a task again after something went wrong
The agent asks for help immediately
The agent starts a completely new task
The agent gives up after the first attempt
An AI agent searches for information but gets no results. What is a good response?
Use completely different search words and try again
Assume the user made a typo and fix it without trying
Send an error message to the computer
Report that nothing was found and stop
If an AI agent encounters an error during a multi-step task, what might it do?
Skip that step and come back to it later
Restart the computer
Stop the entire task immediately
Delete the task entirely
What should an AI agent do if it has tried multiple times and nothing works?
Turn itself off
Tell the user what happened and ask for help
Keep trying the same thing forever
Delete all its data
Which behavior shows an AI agent being persistent?
Trying a new approach after the first one doesn't work
Asking another AI to do the work
Quitting after one failed attempt
Trying the same failed approach ten times in a row
An agent tries to open a file but gets an error. What might it try next?
Try a different file format or method to open it
Give up immediately
Wait for the user to manually open it
Delete the error message
What is the "agent way" when stuck on a problem?
Try something new and different
Ignore the problem
Wait for someone else to solve it
Keep trying the exact same thing
Why is it important for AI agents to handle errors rather than just quit?
Error handling is not important
Errors don't really matter to agents
So agents can complete tasks even when problems arise
Agents should stop at the first sign of trouble
An AI agent is trying to solve a puzzle and one approach isn't working. What should it do?
Delete the puzzle
Try a completely different approach
Stop trying because it failed
Ask another AI to solve it
What does "error handling" mean for an AI agent?
Reporting errors to the police
Making as many errors as possible
Ignoring when things go wrong
How the agent deals with problems and failures
When a website doesn't load, an agent might "wait and try again." What is this an example of?
Complaining about the website
Skipping the task
Retrying after a failure
Giving up
A student is stuck on a video game level. Which approach matches what an AI agent would do?
Ask a parent to beat the level
Keep trying the exact same move repeatedly
Turn off the game and play something else
Try a completely different strategy
What happens when an AI agent uses a "different path" to solve a problem?
It gives up on the goal entirely
It asks the user for the answer
It tries an alternative method to reach the same goal
It chooses a harder way on purpose
If an AI agent's first attempt at a task fails, what is the best response?