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
Business
For most small businesses, "run the numbers" has always meant one of two things. Either you pay someone $90,000 a year to build reports, or you do it yourself at 11pm in a spreadsheet you half understand, hoping the formula in cell K42 still points where you
AI Agents
Anthropic shipped a new flagship, the industry's connective tissue got rewritten, and a national regulator went undercover as a shopper, with its own AI agents. It was a week where the agent story stopped being about demos and started being about standards, oversight, and who pays. Here are
Future of Work
The demo era is over. For most of the last two years, the honest state of AI agents in business was a highlight reel: a slick recording of an agent booking a flight, a canned walkthrough of one summarizing a meeting, a conference-stage moment where everything worked because someone rehearsed
AI Agents
Week 30 was the week the agent conversation grew up and got a little scary. Gartner put a number on how much enterprise software spending is now in play, two separate breaches showed what autonomous agents can do in the wrong hands, and nearly every major lab quietly ended the