Learning Timeline
Key Insights
The 'Error as Opportunity' Mindset
Don't get frustrated or give up when an AI Agent makes a mistake. Use that error as a moment to identify information gaps and use it as input to strengthen your agent's skills.
Iteration for Complex Workflows
For workflows involving multiple data sources (e.g., Notion, YouTube, Twitter), you might need around 5 'recursive building' loops before the skill becomes truly stable and flawless.
Prompts
Identifying the Root Cause
Target:
AI Agent Chat Interface
Why did you fail? What's the descriptive error that you received during this execution?
Updating Skills Automatically
Target:
AI Agent Chat Interface
Now that we have identified the fix, please update the skill file with these new instructions so that this error doesn't happen again in the future.
Step by Step
Recursive Building Process for AI Agent Skills
- Identify any failures or errors encountered by the AI Agent while executing a workflow.
- Ask the AI Agent: 'Why did you fail?' or 'What is the specific error that you got?' to get a technical explanation.
- Analyze the error details provided (e.g., Error 5005, insufficient credits, or API timeout).
- Provide corrective instructions or additional information to the AI Agent based on the root cause of the error.
- Instruct the AI Agent to retry the task until it is executed perfectly.
- Direct the AI Agent to automatically update the skill file (usually in .md format) with the new resolution logic.
- Save the skill file so the AI Agent does not repeat the same mistake in the future.
