Android AI Agent Part 14: Handling Cases Where the Agent's User Model Is Wrong

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This installment of the Android AI agent series examines failure modes when the agent's inferred model of the user's activity is incorrect. Rapid app switches can look like focused work when they are actually reactions to notifications, leading the agent to wrongly assume a task in progress. Stale intents saved from earlier sessions may resurface even after the user has moved on, and similar-looking apps can cause the agent to target the wrong package. The author proposes detecting a mismatch when a context-derived first step fails immediately at medium or high confidence. Depending on confidence, the agent either replans with degraded context or asks the user for direction.

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