POML to AI Prompts & Chat Messages Converter (Zero Dependencies)
Converts POML markup to Markdown prompts or chat-style messages for AI models using a zero-dependency n8n Code node. Supports variables, components, tables, images, and validation for seamless prompt engineering.
This n8n workflow transforms POML (Prompt Object Markup Language) into AI-ready outputs: a single Markdown prompt for completion models or an array of chat messages (system/user/assistant) for conversational APIs. Built with a sophisticated zero-dependency JavaScript compiler in a single Code node, it handles variable substitution via context objects (e.g., {{dot.path}}), headings, lists, code blocks, images (including base64 to data URLs), tables from JSON data, and line breaks. Optional schema validation ensures content integrity using componentSpec and attributeSpec.
Ideal for teams authoring structured prompts in POML without external libraries, it works on n8n Cloud or self-hosted instances. Benefits include template safety, full feature parity, and rapid iteration—saving hours on manual conversions. No node dependencies mean easy import and deployment.
Use cases: Marketing content generation (e.g., personalized directories), AI prompt libraries, chatbots, or any LLM workflow needing dynamic, validated prompts. Input POML via upstream nodes, configure specs/context, and output directly to AI tools like OpenAI or Anthropic.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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