Back to Prompt Library
implementation

Implement Content Detection with OpenAI o3 and MCP

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

Linked challenge: Ethical AI Content Curation

Format
Text-first
Lines
1
Sections
1
Linked challenge
Ethical AI Content Curation

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Implement the 'Content Detector Agent' using OpenAI o3 for advanced textual/conceptual analysis. This agent should use the 'SimulatedAIDetectionTool' via MCP to get an initial AI likelihood score. Based on this, and o3's reasoning, it should assess the content for subtle AI-generated characteristics (e.g., generic phrasing, uncanny patterns) and communicate its findings to the 'Curation Recommender Agent'.

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.