Back to Prompt Library
implementation

Introduce Audience Insights Agent and Reporting Tool

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

Linked challenge: AutoGen Multi-Agent System for Media Strategic Resource Planning

Format
Code-aware
Lines
1
Sections
1
Linked challenge
AutoGen Multi-Agent System for Media Strategic Resource Planning

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Add a third `AssistantAgent` called 'Audience Insights Specialist' to your `GroupChat`. This agent should have a tool `query_audience_metrics(content_type, time_period)` that simulates fetching audience engagement metrics. Also, create a `reporting_tool(title, content)` function that agents can use to finalize their recommendation into a structured markdown output. Ensure the agents understand how to collaborate and use each other's tools.

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.