I know I can simply ask myaAgent or Google this question but would prefer to ask HN for any practical real examples used day to day.

Question: For the people who build agentic workflows, how do I implement a ML habit where the agent learns from itself, can iterate and improve on it's own? I would still oversee and validate but would love to learn ML implementation to agents. Am I just overthinking this and can write it in the prompt? Any help is appreicated!

Depends on the specific problem. If inputs change predictably over time then ML can help. But for lot of problems that doesn't happen.

This related link was posted yesterday: https://news.ycombinator.com/item?id=49699648