Good to know... · AI Automation Society

Good to know...

I’ve been building a growing number of automations in n8n lately and I’m starting to think more seriously about long-term structure and best practices.

Most of what I’m doing is real-world workflow automation: lead intake, enrichment, outbound email, voice agent triggers, scheduling, status updates, logging, etc. It’s working well, but I want to make sure I’m building the right way as things scale.

I’d love to hear how more experienced n8n users approach things like:

Managing environment variables across environments
Structuring workflows vs. breaking them into sub-workflows
Inter-workflow communication patterns
Handling retries and preventing duplicate processing
Error handling strategies beyond the default error workflow
Custom execution logging (for example, pushing structured logs into a CRM or database)
Versioning and promoting workflows from dev to production
Performance considerations when automations start to grow
Monitoring client applications

Basically:

What are the lessons you only learn after running n8n in production for a while?

If you’ve built larger systems or run client-facing automations, what would you do differently if you were starting over?

Appreciate any patterns, pitfalls, or “wish I knew this earlier” advice.

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