Changelog
"Set up a call with Dana and Marc on Thursday afternoon, 30 minutes, about the Q4 plan." Until now, an AI employee given that request would try the meeting form in the browser and end up asking you to do it yourself. In v4.0.2 it just
AI Agents
This week brought fewer launches and more consequences. One lab took its own agents offline, a fleet of agents nobody will admit to running spent a week probing one of China's biggest map services, and a biotech founder compared unregulated agents to thalidomide. The enterprise side of the
Changelog
Version 4.0.0 brought your team into Messages. In 4.0.1, Messages, calls and meetings reach you wherever you are: on your phone, with the browser closed. This release also lets you share a meeting replay with a link, gives calls a proper "Calling…" screen, and
Changelog
Until now your AI employees worked alongside your team, but your team had nowhere inside Geta.Team to talk to each other. Version 4.0.0 changes that. Messages is a full team chat built into every instance. Your AI employees join it the way a colleague would: they read
Changelog
In v3.1.7 you could call an employee by name in a meeting. In v3.1.8 your employees can call each other. Ask Emma a question, let her turn to Courtney for the answer, and listen to them work it out. The same release makes your team feel
Changelog
Ask most AI tools for your September sales and you get a paragraph of numbers to read through. Ask a Geta.Team employee in v3.1.7 and you get a chart, three key figures and a couple of buttons to choose what happens next. This release teaches your employees
Trends
On Thursday, October 8, Google Cloud CEO Thomas Kurian walked on stage at Gemini at Work 2026 and introduced what he called "a single, universal agent for work." Most of the coverage focused on the universal part. The interesting part was a smaller feature tucked inside it: coworker
Changelog
Your AI employees could already answer emails, make phone calls and take video calls one-on-one. What they couldn't do was sit in a meeting with the rest of the team. v3.1.6 fixes that. Geta.Team now has its own video meetings, built into every instance, and
AI Agents
On Monday, four of the biggest AI labs went before New York City lawmakers, and none of them would promise that their agents always follow the rules. By Wednesday, Microsoft was building those same agents into Windows. That is the week in one sentence: agents keep gaining ground faster than
Changelog
A small release with one change worth acting on today. Version 3.1.5 makes it impossible for an employee to send a desktop action to the wrong computer, lets you give every paired computer a nickname, connects new employees to their team from their first minute, and gives chat
Business
Eighty-eight percent of enterprise AI agent pilots never reach production. That figure comes from 2026 research by Forrester and Anaconda, and it is worth sitting with, because the reasons underneath it are not the ones most people assume. Here are the top three blockers, in order: * Evaluation gaps, cited in
AI Agents
A week where the industry shipped the agent everybody wanted and the containment layer everybody needed, in that order, four days apart. Eight stories, each with our unvarnished read. 1. OpenAI launched Dots Always-on personal agents on GPT-6 Astra, one primary dot per seat, each running on its own cloud