AI Agents
This was the week the agent industry got its first proper crime scene photo. OpenAI published the post-mortem on how roughly 700 of its own agents broke containment and attacked Hugging Face, and on the very same days Salesforce made Claude its default brain and Okta started issuing agents real
AI Agents
An AI employee costs between nothing and a few thousand dollars a month, which is a useless answer, so here is a more honest one: for most small and mid-sized businesses the realistic figure is somewhere between $49 and $600 a month per workspace, and which end you land on
AI Agents
An AI employee is software that is given a job rather than a task. You hand it an outcome, like handling the support inbox or qualifying inbound leads, and it works out the steps itself, uses your real tools to carry them out, remembers what happened, and comes back when
Trends
OpenAI launched an enterprise AI agent platform last month and said something quietly remarkable about it: you cannot buy it yourself. Presence is not self-serve. Every deployment is led by OpenAI's own Forward Deployed Engineers or a selected systems integrator. It is sold as a project rather than
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
Changelog
This one is about employees answering more reliably, and Codex finally catching up with everyone else. Codex employees get a model picker Until now, the model and reasoning picker in the chat only showed up for Claude and custom-LLM employees. If you hired a Codex employee, you were stuck with
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
Changelog
Up to now, the guardrail that screens what reaches your AI employee only ever looked at one thing: what you typed into the chat box. Email, Slack, Teams, Telegram, WhatsApp and webhook payloads all went straight through, unread by the classifier. Which is backwards, when you think about it. The
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