How to Test an n8n AI Workflow Before You Trust It
Use a small regression test dataset to check an n8n AI workflow after changes, including valid input, missing fields, bad types, duplicate delivery, and uncertain output.
Michael Stables
AI Workflow Requirements Template: What to Define Before You Build
Use this practical AI workflow requirements template to define inputs, outputs, human review, failure paths, and success evidence before building in n8n or another tool.
MCP Inspector Tutorial: Test an MCP Server Before You Trust It
MCP lets an AI app connect to tools, files, services, and workflows. That is useful. It is also exactly why you should test an MCP server before you connect it to real data. After the server passes that first inspection,…
MCP Server Safety Checklist for Beginners: Start Small Before You Connect AI to Real Data
A practical MCP server safety checklist for beginners: test one narrow capability in an isolated folder, verify permissions, and keep human approval before real side effects.
What Is MCP? A Plain-English Guide to Model Context Protocol
MCP stands for Model Context Protocol. In plain English, it is a standard way for an AI app to connect to outside tools, files, data sources, and workflows. That sounds technical because it is technical under the hood. But the…
How to Use Claude Code With Ollama and Qwen3-Coder
A practical guide to using Claude Code as a coding harness with Ollama and Qwen3-Coder as a local model backend, including setup, hardware expectations, and review guardrails.