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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