Hi n8n community 
We’re the team behind Genum, and we’ve been working on a problem that shows up quickly when using AI inside automation tools like n8n: prompt instability in production.
The core idea
Instead of keeping prompts embedded inside workflows or agents, we extract prompts out of the runtime and treat them as first-class business logic:
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prompts are versioned, tested, and audited
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changes go through CI/CD and regression tests
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runtime workflows stay stable while AI logic evolves independently
This turns prompts from “best-effort text” into deterministic, governable AI behavior, which is exactly what business automation needs.
How this fits n8n
We built community nodes for n8n that let you:
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inject a verified prompt version directly into your agent or workflow
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or execute the prompt remotely on Genum, where it’s already tested and locked
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pin prompt versions so workflow behavior doesn’t drift over time
You can think of it as:
GitHub + CI/CD, but for prompts — connected to n8n.
Why this matters for automation
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No more silent behavior changes when someone edits a prompt
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Safer AI-driven routing, extraction, and decision logic
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Clear ownership, rollback, and auditability for AI behavior
Links
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Genum: genum.ai
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SaaS (lifetime free) with 5$ pre-deposit for major AI providers: lab.genum.ai
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Genum product (open source) + community nodes: https://github.com/genumai/
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YouTube – n8n integration walkthrough: https://www.youtube.com/watch?v=H22ffTbwf2E
We’d love feedback from people running AI in real n8n workflows — and we’re happy to collaborate with the community on improving the nodes or patterns.
Thanks!