What we learn building workflows and AI systems for growing businesses. Practical, measured, written to be useful.
Connectors and MCP plug AI directly into your email, drives and CRM. The three risks that creates, and the controls that make connectors safe to love.
Read the article →n8n templates, MCP servers and GitHub projects are brilliant and risky in equal measure. Five plain-language checks before anything touches production.
Read the article →Prompts, workflows and AI skills are now real company assets, and most of them live in personal accounts. One home, an owner, review and history.
Read the article →The models are cheap and getting cheaper. What you pay for is diagnosis, adoption, governance and measurement. An honest answer, including when not to hire one.
Read the article →From uncontrolled personal use to on-premise. A practical framework for matching each AI workflow to the right deployment level, plus the legal questions to ask.
Read the article →Seven traps that quietly drain a growing team's capacity, and the fixes that recover it. Most teams are leaking more hours than a new hire would add.
Read the article →MIT found 95% of enterprise GenAI pilots fail to deliver ROI. The cause is rarely the technology. The five layers that decide the outcome, and where to start.
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