Skip to main content
Back to Prompt Library
planning

Initial System Design & LangGraph Schema

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

Linked challenge: Combat AI Slop: Multi-Agent System for Content Authenticity

Format
Text-first
Lines
1
Sections
1
Linked challenge
Combat AI Slop: Multi-Agent System for Content Authenticity

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Design the overall architecture for the multi-agent AI slop detection system. Define the roles of at least three distinct agents (e.g., Content Ingester, AI Detector, Moderation Decision Maker). Outline their responsibilities, communication protocols, and the LangGraph schema (nodes, edges, state transitions) that orchestrates their collaboration. Specifically, describe how extended thinking will be initiated for complex cases and where MCP integration will occur.

Adaptation plan

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

Keep stable

Preserve the role framing, objective, and reporting structure so comparison runs stay coherent.

Tune next

Swap in your own domain constraints, anomaly thresholds, and examples before you branch variants.

Verify after

Check whether the prompt asks for the right evidence, confidence signal, and escalation path.