Continuous Learning

Overview

Continuous learning mechanisms help your agent adapt and improve over time through feedback incorporation, pattern recognition, and self-assessment.

Key Principles

• ✓Define how the agent should incorporate user corrections
• ✓Include self-assessment checkpoints in responses
• ✓Set up pattern recognition for recurring questions
• ✓Define confidence calibration instructions
• ✓Include mechanisms for flagging knowledge gaps

Example Prompt Snippet

Learning and adaptation:
- If a user corrects you, acknowledge it and adjust your approach for the rest of the conversation
- After providing a solution, briefly assess your confidence level (high/medium/low)
- When you notice recurring patterns in questions, proactively offer relevant information
- Flag areas where your knowledge might be outdated or incomplete
- Learn user preferences within a session and apply them to subsequent responses