What to do when an AI agent gets stuck
Even with clear instructions and useful tools, an can still fail on very narrow problems or tasks that need deep specialist knowledge. The practical options are to keep improving the prompt, switch to another model, or use some other . The core issue is how to handle complex or highly specific tasks when the agent stops making progress.
Key points
- An can get stuck even when the prompt and tools are good.
- and specialist knowledge are weak spots for agents.
- Possible include more , switching models, or using a .
- For cost control, endless can be wasteful if the agent lacks the right knowledge or tool.