A v1.0 framework for reasoning about — and instrumenting — AI employee failure in production. Instead of a headline percentage, it offers a five-part failure taxonomy, a 2026 baseline by task complexity, and an architect's guide to reading failure data by shape, not rate.
n8n is a toolkit you assemble; EmployAIQ is employees you hire. An honest comparison of building AI agents versus hiring AI Employees — including where n8n is genuinely the better answer.
n8n wins for technical AI agent builders with 70+ LangChain nodes, while Make.com suits simple visual automations. But there's a third path — ready-made AI Employees via EmployAIQ — for owners who want agents working for them, not a build project.
