Changelog
Every meeting AI you have used joins the call. It appears in the participant list with a name like "Otter.ai Notetaker", everyone sees it, and on a sales call somebody always asks what it is. v4.0.24 records the call from your own computer instead. Your
Changelog
Three releases landed in two days, and rather than three changelogs we are putting them in one place. The headline is that the Studio now has a second half: documents. Underneath it, WordPress editing grew up, and previews stopped caring what sits in front of your server. Documents The Studio
Changelog
Studio shipped yesterday for projects that start empty. The obvious question came back immediately: what about the app I already have? v4.0.20 answers it twice. The new project screen now has three tabs instead of one. Create something new, open an existing app from git, or connect a
Changelog
Asking an AI employee to build you something on the web has worked for a while now. You describe what you want, it writes the files, it publishes, you get a link. The part that never worked was everything after the link: you open it, you see the headline is
Changelog
v2.3.2 is a patch release with one feature users have been asking for since the day we shipped multi-model support, one bug that was silently embarrassing the agent on inbound phone calls, and two quieter UX cleanups. Switch models in the middle of a conversation, without slash commands
Changelog
v2.3.0 ships with two features that have been at the top of the user wishlist since the very first wave of onboardings, plus the smaller bullet that quietly fixes the most annoying recurring support pattern. The two headlines: a proper Trello-style task board, one per employee, that the
Product Updates
Five releases in three weeks. Here's everything that shipped in Geta.Team from mid-February to today, starting with the most recent. v2.0.11 — March 4, 2026 Claude Auth Infinite Loop Fix (Critical) On instances with active employees, connecting Claude via OAuth was stuck on "Waiting for
AI Employees
Here's a test I run on every AI tool before I trust it with real work: can it do something useful at 3 AM on a Tuesday while I'm asleep? Not "generate a response when prompted." Not "auto-reply with a template." Actually
AI Employees
Everyone asks the same question before hiring an AI employee: "But what can it actually do?" The honest answer is: not much on day one. And that's fine. Because the interesting part isn't what it does on day one. It's what happens
Engineering
You open your laptop, type "handle my inbox," and walk away to make coffee. By the time you're back, 47 emails have been triaged, three meeting invites accepted, a client follow-up drafted, and a summary sitting in your chat. Magic, right? Not really. What happened in
AI Employees
There is a freelancer in London who publishes a blog post every morning, sends 200 personalized cold emails a week, posts to LinkedIn and X daily, responds to customer inquiries within minutes, and delivers weekly analytics reports to her clients. She has no employees. No VA. No agency. Just herself
AI Employees
Chatbots answer questions. AI employees do work. There is a massive difference, and most people have not crossed that line yet. If you have a weekend free and want to see what agentic AI actually looks like in practice, here are 10 things you can set up with an AI