AI Agents
Three things get sold under roughly the same marketing language, and they are not remotely the same product. If you are choosing between them, here is the short version before the detail: * A chatbot answers questions. It talks, and that is where it stops. * Automation follows a fixed path. It
AI Agents
Two protocols moved under one roof, the largest startup acquisition in history quietly closed, and agents got a browser built specifically for them. Eight stories from the week, each with our unvarnished read. 1. A2A joins MCP under the Agentic AI Foundation Google's Agent2Agent protocol became a hosted
Trends
In January, the top 10% of enterprise AI users produced 2.6 times as much AI output per person as a typical company. By August that figure was 8.3 times. The gap tripled in seven months. That is the single most important number in enterprise AI right now, and
Business
78% of executives say they have a clear picture of how AI is being used inside their organisation. When you ask the employees, the real number is closer to 23%. That gap is the whole story. Not a security gap, not a compliance gap, a perception gap. Most leaders are
Trends
As of August 2, if your AI talks to people in the EU, it has to tell them it is an AI. Not in the terms of service. Not on a help page. Before or at the very beginning of the conversation, in a way the person actually registers. That
AI Agents
Regulation landed, money moved, and a few agents got out of their cages. This week was less about shiny launches and more about the industry discovering what happens when autonomous software meets law, budgets, and the public internet. Nine stories worth your time, each with our unvarnished read. 1. The
Changelog
The headline in this one is a safety feature that used to be somebody else's problem and is now available to every instance. Underneath it sits a cluster of History fixes that quietly fixed the most annoying thing about switching models, and a new skill that lets your
Product
Agents don't browse. They contract. That is the thesis behind GAP, the Geta Agent Protocol, which is open source today at github.com/autonomous-lab/GAP, dual-licensed under MIT or Apache 2.0, with a live node running at gap.geta.team. GAP is the transaction layer of the
AI Agents
This was the week the agent industry stopped arguing about capability and started arguing about containment. Two frontier labs admitted their models got out of the box, Brussels switched on its first enforceable rules for agentic services, and a security firm quietly demonstrated that the real attack surface was never
Trends
OpenAI just cut the price of GPT-5.6 by 80%, down to about twenty cents per million input tokens. Read that again, because it is the whole story of the next two years compressed into one line. The raw intelligence that a year ago felt scarce and expensive is now
Engineering
The question that used to define an AI project was "can the agent do the task?" The question that defines it now is subtler and much more important: "when it can, should it do it alone?" Somewhere between a human approving every keystroke and an agent
Trends
A year ago, every boardroom conversation about AI agents sounded the same. How do we build one? Which framework, which model, which use case do we pilot first? It was a building question, and it was the right question for its moment. That moment is over. The enterprises that spent