Agents make mistakes. What to do when yours does, and how it learns from corrections.
Why Mistakes Happen
Your agent uses large language models to understand requests and take action. These models are remarkably capable, but they can:
- Misunderstand context: especially with ambiguous requests or unfamiliar topics.
- Make confident-sounding errors: AI can be wrong while sounding certain.
- Miss nuance: sarcasm, implied context, or domain-specific jargon can trip it up.
This is normal. Even the best AI systems have limitations.
What to Do
- Tell your agent directly. Say something like: "That's not right, I meant X" or "Don't do that again." Your agent understands corrections in plain language.
- Be specific. Instead of "that's wrong", try "the meeting is on Thursday, not Wednesday", specific corrections stick better.
- Check important outputs. For anything critical (emails to clients, financial data, scheduling), review before it goes out. Your agent can draft, but you should approve.
How Your Agent Improves
Your agent has memory. When you correct it, that correction is stored and referenced in future interactions. Over time, your agent gets better at:
- Understanding your preferences
- Avoiding repeated mistakes
- Matching your communication style
- Knowing what needs your approval vs. what it can handle independently
Setting Boundaries
You can tell your agent things like:
- "Always ask before sending emails on my behalf"
- "Never schedule meetings before 10am"
- "Double-check any numbers before including them in reports"
These instructions become part of your agent's operating rules.
Our Commitment
We're transparent about AI limitations because trust matters more than hype. Your agent is a tool that gets better with use, not a magic solution. The more you work with it, the more useful it becomes.