• Home
  • Technology
  • Gaming
  • Entertainment
  • World & Business
  • Science
  • Sports
  • AI
HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
    • HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI
    AI

    Greg Isenberg Describes Self-Healing AI Agents

    Entrepreneur outlines why typical agents fail tasks and how self-healing ones recover.

    GI
    1 Source, 27d ago, first seen 27d ago

    TLDR

    Greg Isenberg posted on X that AI agents break constantly when they hit dead ends and leave unfinished work. He states that self-healing agents address this by continuing instead of stopping. The tweet includes a hand-drawn diagram attached to the post. Isenberg, who shares startup ideas daily and runs Late Checkout, presents the approach as a direct fix for unreliable agent output.

    Combined views

    61.2K

    1 Source, first seen 27d ago

    Combined views

    61.2K

    1 Source, first seen 27d ago

    826 likes
    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet

    826 likes
    87 comments
    1.5K saves
    78 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    87 comments
    1.5K saves
    78 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    1 Source

    @gregisenbergHOW TO FIX YOUR AI AGENTS (it's called "self-healing agents") If you've run AI agents, you know they BREAK constantly. The FIX is something called a "self healing" agent! A normal agent hits a dead end and just stops, leaving you a half finished mess and that's why output sometimes isn't ideal. BUT, a self-healing one hits the same wall and thinks "okay, that didn't work, let me try another way" HOW TO BUILD SELF-HEALING AGENTS (4 steps): 1. Make it check its own work. After each step, the agent asks "is this what I expected?" instead of assuming it worked and moving ahead. 2. Have it name what broke. Not just "it failed," but which kind: the tool timed out, returned an error, came back empty, or gave a wrong answer. Wrap your tool calls so the error gets passed back to the agent, because it can only fix a failure it can actually see. 3. Match the fix to the failure. Glitch, retry it. Tool down, switch to a backup. Keeps failing, break the task smaller. Anything risky like money or deleting data, stop and ask you. 4. Make it log every fix. It writes down what broke and what worked, so it stops repeating the same mistake in a session, and you get a list of what to fix at the root. That's it. Now, you've got agents that fix themselves.

    1 Source

    @gregisenbergHOW TO FIX YOUR AI AGENTS (it's called "self-healing agents") If you've run AI agents, you know they BREAK constantly. The FIX is something called a "self healing" agent! A normal agent hits a dead end and just stops, leaving you a half finished mess and that's why output sometimes isn't ideal. BUT, a self-healing one hits the same wall and thinks "okay, that didn't work, let me try another way" HOW TO BUILD SELF-HEALING AGENTS (4 steps): 1. Make it check its own work. After each step, the agent asks "is this what I expected?" instead of assuming it worked and moving ahead. 2. Have it name what broke. Not just "it failed," but which kind: the tool timed out, returned an error, came back empty, or gave a wrong answer. Wrap your tool calls so the error gets passed back to the agent, because it can only fix a failure it can actually see. 3. Match the fix to the failure. Glitch, retry it. Tool down, switch to a backup. Keeps failing, break the task smaller. Anything risky like money or deleting data, stop and ask you. 4. Make it log every fix. It writes down what broke and what worked, so it stops repeating the same mistake in a session, and you get a list of what to fix at the root. That's it. Now, you've got agents that fix themselves.