Continuous Feedback and Improvement › Creating Your Feedback Loop
Michael BrenndoerferAugust 4, 20251 min read
AI Agent HandbookAll chapters Part 11 of 15Evaluation - Measuring Your Agent's Performance
Continuous Feedback and Improvement › Creating Your Feedback LoopOne section · Sections in this chapter5 / 12 ↓
Sections in this chapter12
Let's put this all together into a systematic process you can follow. Here's a practical week-by-week rhythm for continuous improvement:
Week 1-2: Collect data
- Deploy your agent and let it interact with users
- Log every interaction with success metrics
- Collect user feedback when available
- Monitor for automatic failure signals
Week 3: Analyze and prioritize
- Review your logs and identify patterns
- Categorize issues by type and frequency
- Pick the top 2-3 issues to address (focus on high-impact problems)
- Create new test cases for these issues
Week 4: Improve and test
- Make targeted changes to address the issues
- Run your full test suite including new tests
- Do a small pilot deployment if changes are significant
- Verify improvements with both automated tests and manual review
Week 5: Deploy and monitor
- Deploy the updated agent
- Monitor closely for the first few days
- Check if the issues decreased
- Watch for any new issues introduced
Then repeat the cycle. You're not trying to achieve perfection in one iteration. You're building a habit of continuous learning and refinement.