One workflow, multiple AI prompts — dynamic prompt switching with xR2

[Pavel_Kuzko]

Hey everyone!

A common question I see on the forum: “I have the same workflow but need different system prompts for different clients/scenarios. How do I avoid duplicating the whole workflow?”

Built a template that solves this. One workflow handles unlimited clients — each with their own AI personality, tone, and instructions. No duplicating workflows, no giant Switch nodes with blocks of text.

How it works:

Each prompt lives in xR2 (prompt management platform) with a unique slug. The workflow receives a request with a prompt_slug parameter, fetches the matching prompt from xR2, sends it to OpenAI, and returns the response.

• support-acme → friendly support agent for ACME Corp
• support-globex → formal assistant for Globex Industries
• sales-bot → sales qualification bot

Same workflow. Different AI behavior. Change the prompt in xR2 dashboard — no need to touch n8n.

Workflow JSON (copy and import via Import from File):

One workflow, multiple AI prompts — dynamic prompt switching with xR2.json (6.0 KB)

Setup:

1. Install xR2 node: Settings → Community Nodes → n8n-nodes-xr2
2. Get free API key at xr2.uk
3. Create prompts with slugs matching your use cases
4. Import this workflow, add your credentials (xR2 + OpenAI)
5. Test with: POST to webhook URL with body:
   {“prompt_slug”: “support-acme”, “customer_name”: “John”, “message”: “How to reset password?”}

Video walkthrough: link

Happy to answer questions!

[Pavel_Kuzko]

thanks! the local cache fallback is solid, will think about adding that.

model-per-slug is a good idea — right now xR2 stores prompts with slug and version only, model config isn’t a field yet. worth adding to the roadmap though.

no github yet, just the json attached. happy to put it up properly if there’s demand