Convert POML to AI-Ready Prompts & Chat Messages with Zero Dependencies

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

POML → Prompt/Messages (No Deps) What this does Tu...

Best for

Engineering automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.set, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.stickynote, n8n-nodes-base.manualtrigger

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by RealSimple Solutions.

Original n8n.io source

1.1 Workflow description

Title: Convert POML to AI-Ready Prompts & Chat Messages with Zero Dependencies
Workflow name: Convert POML to AI-Ready Prompts & Chat Messages with Zero Dependencies

POML → Prompt/Messages (No-Deps)

What this does

Turns POML markup into either a single Markdown prompt or chat-style messages[] — using a zero-dependency n8n Code node. It supports variable substitution (via context), basic components (headings, lists, code, images, tables, line breaks), and optional schema-driven validation using componentSpec + attributeSpec.

Credits

Created by Real Simple Solutions as an n8n template friendly POML compiler (no dependencies) for full POML feature parity.

View more of our templates here

Who’s it for

Teams who author prompts in POML and want a template-safe way to turn them into either a single Markdown prompt or chat-style messages—without installing external modules. Works on n8n Cloud and self-hosted.

What it does

This workflow converts POML into:

prompt (Markdown) for single-shot models, or
messages[] (system|user|assistant) for chat APIs when speakerMode is true.

It supports variable substitution via a context object ({{dot.path}}), lists, headings, code blocks, images (incl. base64 → data: URL), tables from JSON (records/columns), and basic message components.

How it works

Set (Specs & Context): Provide componentSpec (allowed attrs per tag), attributeSpec (typing/coercion), and optional context.
Code (POML → Prompt/Messages): A zero-dependency compiler parses the POML and emits prompt or messages[].

> Add a yellow Sticky Note that includes this description and any setup links. Use additional neutral sticky notes to explain each step.

How to set up

Import the template.
Open the first Set node and paste your componentSpec, attributeSpec, and context (examples included).
In the Code node, choose:
- speakerMode: true to get messages[], or false for a single prompt.
- listStyle: dash | star | plus | decimal | latin.
Run → inspect prompt/messages in the output.

Requirements

No credentials or community nodes.
Works without external libraries (template-compliant).

How to customize

Add message tags (<system-msg>, <user-msg>, <ai-msg>) in your POML when using speakerMode: true.
Extend componentSpec/attributeSpec to validate or coerce additional tags/attributes.
Preformat arrays in context (e.g., bulleted, csv) for display, or add a small Set node to build them on the fly.
Rename nodes and keep all user-editable fields grouped in the first Set node.

Security & best practices

Never hardcode API keys in nodes.
Remove any personal IDs before publishing.
Keep your Sticky Note(s) up to date and instructional.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Set_Variables

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 2 - Parse_POML

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 3 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 4 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 5 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - ‘Execute workflow’

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

3. Summary Table

Workflow	Convert POML to AI-Ready Prompts & Chat Messages with Zero Dependencies
Complexity	intermediate
Nodes	10
Categories	Engineering, Multimodal AI
Author	RealSimple Solutions
Published	19 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7609/7609.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Engineering workflows Multimodal AI workflows

Frequently asked questions

What does Convert POML to AI-Ready Prompts & Chat Messages with Zero Dependencies do?

POML → Prompt/Messages (No Deps) What this does Tu...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, Multimodal AI use case.

RealSimple Solutions

10 workflows

Nodes

n8n-nodes-base.set n8n-nodes-base.code @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.stickynote n8n-nodes-base.manualtrigger

Complexity

intermediate

Published 19 Aug 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/7609/7609.json

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Convert POML to AI-Ready Prompts & Chat Messages with Zero Dependencies

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

POML → Prompt/Messages (No-Deps)

What this does

Credits

View more of our templates here

Who’s it for

What it does

How it works

How to set up

Requirements

How to customize

Security & best practices

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Set_Variables

Block 2 - Parse_POML

Block 3 - AI Agent

Block 4 - OpenAI Chat Model

Block 5 - Sticky Note

Block 6 - Sticky Note1

Block 7 - Sticky Note2

Block 8 - Sticky Note3

Block 9 - Sticky Note4

Block 10 - ‘Execute workflow’

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions