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Personalization and Context Management

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Linked challenge: Agent for Personalized Market Insights with Voice UI

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Linked challenge
Agent for Personalized Market Insights with Voice UI

Prompt source

Original prompt text with formatting preserved for inspection.

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Implement a simple persistent memory mechanism for your agent to 'remember' companies the user is tracking. When a user asks a question, the agent should first check its memory for tracked companies. Then, using its tools and **GPT-4o**, provide a personalized insight that incorporates both current data and the tracked context. Describe your approach to context management. Consider how **TPOT** could automate the creation of a baseline sentiment model from collected news data to enhance insights.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.