What is the recommended method for fine-tuning AI agent performance when getting inconsistent results?

The recommended approach for fine-tuning AI agents is to:

1. Chat directly with the agent and update instructions with more specific details
2. Be very explicit about requirements (companies, time periods, etc.)
3. Try this method for 1-2 attempts
4. If you don't see improvement after 1-2 tries, contact Abundly support for additional assistance

This iterative approach of refining instructions through direct interaction is generally effective for improving agent performance.

Common issues and solutions

Date handling problems: If your agent includes wrong dates or information from outside specified time periods, this is often caused by a known issue where Claude (the underlying language model) can "hallucinate" dates when they are not explicitly provided.

Current solutions:

• Be very explicit with date ranges in your instructions
• Double-check that today's date is clearly specified in agent instructions
• Abundly is working on a platform-level fix to automatically provide dates to agents

When to escalate

If you've tried updating instructions 1-2 times and still experience issues:

1. Contact Abundly support with specific examples of the problems
2. Include details about what the agent should vs. shouldn't include
3. Provide examples of incorrect outputs
4. Support can help identify technical issues or provide advanced troubleshooting

Best practices for effective instructions

• Be very explicit about criteria (specific companies, date ranges, content types)
• Include examples of what should and shouldn't be included
• Specify the current date clearly in instructions
• Test changes iteratively rather than making many changes at once
• Document what works and what doesn't for future reference