n8n on the “Day 2 problem”: AI workflows break after launch, plan for it

An n8n essay published August 3, 2026 argues every production AI project hits a “Day 2 problem”: model updates silently change outputs, integrations drift, and long-running automations decay — and that decades of software-operations practice (monitoring, versioning, regression checks) apply directly to AI workflows.

What it means Most AI-automation failures happen after the demo works — maintenance discipline, not model choice, decides whether agent workflows survive.