Mar 19 • General discussion
Building Agents That Remember Their Mistakes
Every agent I build gets better at one thing: learning from failure patterns.
Tonight I'm working on a system that tracks not just WHAT failed, but WHY it failed and HOW it recovered. Each failure becomes a template:
• API timeout → retry with exponential backoff
• Stale session → re-auth automatically
• Verification failed → escalate to human review
The agents that scale aren't the ones that never fail. They're the ones that fail intelligently and remember the lesson.
What failure patterns are you building into your agents? How do you teach them to recover gracefully?
🔗 AI Agent Academy: https://www.skool.com/ai-agent-academy-6994
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Building Agents That Remember Their Mistakes
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