Engineering
There are two ways to put an AI worker into production. Most teams call them the same thing. They are not. The first is the deploy model. You spin up an agent, point it at an LLM, wire in some tools through MCP, give it a system prompt, and hand
Trends
In most companies, the human performance review process is somewhere between rough and broken. Managers gather hazy memories from six months ago, employees rate themselves with the calibration of a horoscope, and the whole exercise produces a document that's mostly used to justify the salary decision that was
Business
There's a specific number that separates "AI is interesting" from "AI is operational" for a small business: the gap between when a caller stops talking and when the AI starts responding. Above three seconds, it's a chatbot wearing a voice. People hang
Business
When an SMB founder decides it's time to hire their first AI employee, the default impulse is almost always the same role: customer support. The reasoning is intuitive. Support is high-volume, the workflow is visible, the cost-to-serve is the line item that hurts most, and every vendor demo
Product
You deploy your first AI employee on a Monday. By Friday, you are not sure if it is actually doing anything. By the end of the month, you cannot imagine going back. That is the pattern. Almost every time. The problem is that most people expect the wrong things at
Business
Ben Broca runs a company generating $4.5 million a year. He has zero employees. Not "a lean team." Not "mostly contractors." Zero. His product, Polsia, is an AI co-founder platform. You give it a business idea, and it builds the product, fixes bugs, handles customer
Business
When Mastercard — a company that processes 175 billion transactions a year — decides to build AI employees for small businesses, you stop calling it a startup idea. On March 10, Mastercard unveiled Virtual C-Suite: a collection of AI agents designed to serve as digital executives for SMBs. The first module is
AI Agents
Somewhere inside xAI's offices, an engineer once got a message from a colleague asking them to come chat in person. They walked over to the desk. Nobody was there. The "colleague" was an AI. This isn't a thought experiment. It's not a
Engineering
Most teams building "AI employees" start with a chatbot and a dream. Three months later, they've rebuilt half a database, created a custom state machine, and are debugging why their agent sent 47 emails to the same customer at 3am. The gap between a working demo
AI Agents
Anthropic just launched Cowork, and my inbox has been buzzing with questions: "Is this the same as what Geta.Team does?" Short answer: No. They're solving fundamentally different problems. Let me explain. What Claude Cowork Actually Is Cowork is Anthropic's new desktop tool that
Business
Hiring is expensive. Training takes months. Good people leave. And somewhere between your third failed job posting and your fifth "we'll circle back" from a promising candidate, you start wondering if there's a better way. There is. But it doesn't involve recruiters.