implementation

Enhance Personalization and Error Handling

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Build a Proactive Executive Assistant Agent with OpenAI Agents SDK

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Linked challenge

Build a Proactive Executive Assistant Agent with OpenAI Agents SDK

Prompt source

Original prompt text with formatting preserved for inspection.

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0 checklist items

Refine your agent's `instructions` and message handling to incorporate user preferences (e.g., preferred meeting times, communication style). Implement robust error handling for tool failures, ensuring the agent can gracefully recover or inform the user. Test this with scenarios where a meeting cannot be scheduled due to conflicts or an email fails to send. Use `Vellum` for tracing and debugging agent interactions and tool calls.

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.

Prompt diagnostics

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Purpose

implementation

This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Build a Proactive Executive Assistant Agent with OpenAI Agents SDK

Inspired by the recent discussion around advanced call-screening features, this challenge tasks you with developing a personalized, proactive AI executive assistant. This agent will autonomously manage communications, prioritize tasks, and synthesize information, effectively acting as a digital chief of staff. It should demonstrate complex reasoning, dynamic tool usage, and an understanding of user preferences to handle various professional scenarios. The core of this challenge involves leveraging the OpenAI Agents SDK to orchestrate a sophisticated agent workflow. You will implement function calling to integrate with external tools for managing schedules, emails, and information retrieval. The agent needs to exhibit nuanced decision-making, adapting its behavior based on the context of incoming communications and the user's current priorities, much like a human executive assistant would filter and manage information flow.

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