The TeamBrain blog
Copy-able plays for running your business with AI, how small teams operate, and us building TeamBrain in public.
Someone on your team knows how it really works. The task can be handed off, but the context can't. Here's why documenting the 'what' is never enough, and the small habit that gets the reasoning out of one person's head.
Your team has a wiki and the answer is probably in there somewhere, but people still ask instead of looking. Here's what a wiki is still good for, where it struggles once AI is part of the work, and how to decide where your team's knowledge should actually live.
The plan for the project is in your head, plus half an email. Turning it into a task list is the job you keep putting off. Here's how to hand that off to AI well, and the one mistake that makes the output useless.
Each person connects their own AI once, and that's a paste and a sign-in. Nobody should be running their own server. Here's what's shared, what's per-person, and how to roll it out without a terminal.
Every chat starts with you pasting in the same company background before you can ask for anything. Here's why the workarounds stall, and the setup that actually removes the re-explaining.
You keep hearing you should be using AI, but everything you find assumes you already know the jargon. You don't need any of it. Here's one clear first step you can do this week.
Some days AI is a real lift and other days it's more work than doing the thing yourself. Usually it comes down to what you handed it. Here's a simple way to decide what to give AI first, and what to keep.
You want a teammate to use the same Claude Project, but sharing is locked behind the Team plan. Here's the honest cost, and a way to get shared team context without buying seats for everyone.
Everyone's AI knows something different, so the work comes back inconsistent. Here's how to give your whole team one shared brain that Claude and ChatGPT both read from, with no code.
You explain your business to ChatGPT, and the next morning it's a stranger again. Here's why that happens, why the memory features don't fix it for a team, and the setup that does.
