Block 1 - Set Prompt/Model
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3
This workflow is provided as-is. Please review and test before using in production.
System Prompt Generator Using Unli.dev turns human input ideas into a polished, repeatable system prompt blueprint. It uses an n8n webhook, a small Set/Prepare pipeline, and Unli.dev's chat complet...
n8n-nodes-base.set, n8n-nodes-base.webhook, n8n-nodes-base.respondtowebhook, n8n-nodes-base.httprequest, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Khairul Muhtadin.
Original n8n.io sourceSystem Prompt Generator Using Unli.dev turns human input ideas into a polished, repeatable system prompt blueprint.
It uses an n8n webhook, a small Set/Prepare pipeline, and Unli.dev's chat completions to generate single-turn, comprehensive system prompts that include:
so your team spends less time arguing about wording and more time shipping features (and you get consistent LLM behavior across apps).
systempromptgenerator kicks everything off.⚠️ Security Note: You'll want to swap in your Unli.dev API key under the HTTP header auth credential—don't share it in Slack. Seriously.
Made by: Khaisa Studio
Category: system-prompt, unli.dev
Need custom work? Contact me!
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.
| Workflow | Generate AI system prompts for LLMs with Unli.dev |
|---|---|
| Complexity | intermediate |
| Nodes | 7 |
| Categories | Engineering, Multimodal AI |
| Author | Khairul Muhtadin |
| Published | 21 Aug 2025 |
Use the JSON export at /data/workflows/7696/7696.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
System Prompt Generator Using Unli.dev turns human input ideas into a polished, repeatable system prompt blueprint. It uses an n8n webhook, a small Set/Prepare pipeline, and Unli.dev's chat complet...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.