Business
Every SaaS product you use was designed for a human. A human who clicks buttons, reads dashboards, fills out forms, and solves CAPTCHAs. That assumption is about to age very badly. AI agents are becoming the primary users of software. Not as a futuristic thought experiment — right now, today, at
AI Security
In early February, security researcher Oren Yomtov at Koi Security audited every skill on ClawHub — the package registry for OpenClaw, the open-source AI agent framework with 180,000 GitHub stars and over 30,000 publicly exposed instances. What he found was staggering: 1,184 confirmed malicious skills out of roughly
AI Agents
Two AI agents were assigned a task overnight. By morning, the task was done. The agents were still running — locked in an infinite loop of mutual admiration, endlessly thanking each other for their great contributions. That anecdote, shared by AI consultant Guy Powell at a Dubai tech conference, sounds like
AI Agents
This was the week AI agents stopped being a developer's toy and started being everyone's problem. GPT-5.4 can now use your computer better than you can, Microsoft wants $99/month to let agents run your office, Meta bought a social network where bots talk to
AI Customer Service
Small businesses handle customer service one of three ways: hire someone they can't afford, do it themselves until they burn out, or ignore it and hope for the best. In 2026, there's a fourth option — AI customer service tools that actually work. But "AI customer
AI Agents
The terms get thrown around interchangeably, and it's costing businesses real money. Someone tells you to "just add a chatbot," you spend three months building one, and then your customers complain it can't actually do anything. Or you deploy an AI assistant, expecting it
Engineering
Teramind just launched an AI governance platform. NIST kicked off its AI Agent Standards Initiative. And McKinsey quietly deployed 25,000 AI agents alongside its 45,000 human consultants. The governance question isn't theoretical anymore. It's operational. Here's the uncomfortable truth most companies are
Business
The average company now uses 106 SaaS applications. Small teams with fewer than 200 people still manage 42. And every single one of those tools came with the same promise: save time, do more, work smarter. Then AI showed up, and the stack got worse. The Tool-Stacking Trap AI-native app
AI Agents
Ask ChatGPT a question today. Ask it the same question tomorrow. It will have no idea you were ever there. This is the default state of almost every AI tool on the market. Each conversation starts from zero. No context from yesterday. No memory of your preferences. No understanding of
AI Agents
Governments are spending $80 billion on sovereign cloud infrastructure this year. Not next year. Not in some projected forecast for 2030. This year, according to Gartner, a 35.6% jump from 2025. That number alone tells the story. But the reasons behind it matter more. The Regulatory Wall Over 100
AI Agents
This week, the AI agent conversation left the lab and landed on the factory floor, the developer's IDE, and the CFO's desk. From silicon to standards, here are the stories that actually matter. 1. NVIDIA GTC 2026 Is About to Drop Feynman, the First Chip Built
Engineering
You open your laptop, type "handle my inbox," and walk away to make coffee. By the time you're back, 47 emails have been triaged, three meeting invites accepted, a client follow-up drafted, and a summary sitting in your chat. Magic, right? Not really. What happened in