AgentUpdated: 2024-02-15

Multi-Agent Content Orchestrator

A complete system prompt configuration for a 3-agent autonomous content team.

Description

Turn your LLM interface into a newsroom. This system defines three distinct agents: The Researcher (facts & sources), The Writer (narrative & flow), and The Editor (style & compliance). It includes specific 'handoff' protocols ensures the Writer doesn't start until the Researcher has signed off on the data.

Use Case

Perfect for: Content Agencies and automated news desks.

Included Files

  • System_Prompt_Researcher.md
  • System_Prompt_Writer.md
  • System_Prompt_Editor.md
  • Orchestration_Script.py (LangChain compatible)

One-time payment

149EUR

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License: Developer License

Preview


### Agent Handoff Protocol (Snippet)

**FROM: Researcher**
**TO: Writer**

*Condition*: Research verification score > 8/10.

*Payload*:
1.  Verified Facts List (with URLs)
2.  Key Quotes (verbatim)
3.  Tone Constraints (from User Brief)

*Constraint*: The Writer MAY NOT invent facts. If a data gap exists, it must call the Researcher back.
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* This is a truncated preview. Full content available after purchase.