Guides and explainers on the Model Context Protocol (MCP) — what it is, how to use it well, and how to keep it secure.
Before close, get the same expense exception list every time — missing receipts, uncategorized charges, amounts over policy — instead of rebuilding the chase in chat.
Before a renewal auto-locks, ask for a fixed pack — notice date, cost, owner, auto-renew — not a freeform prompt that hunts Drive and email differently each time.
Before standup, ask for a fixed blockers pack — not a freeform prompt that invents a new path through Linear, Slack, and sheets every morning.
Before a customer call, stop tab-hopping. Encode the prep as one tool that returns the same three facts every time.
If the same Monday invoice ritual lives in a long ChatGPT prompt, the model will keep improvising it. Put the path in a small tool, then ask the assistant to run it.
Shadow AI isn't fixed with a longer policy. When a coworker needs your Monday automation, give them a small set of tools — not your whole assistant.
What role-based access control looks like for MCP tools, why it matters once you connect real business data, and how to set it up.
Practical tactics to cut token usage when your AI assistant is calling MCP tools — from smaller tool descriptions to smarter aggregation.
A plain-English guide to the Model Context Protocol (MCP): what it is, why AI assistants use it, and how it connects your tools to any chat client.
