Trends
For two years, "what framework are you using?" was the first question at every AI agent meetup. LangChain or LangGraph. CrewAI or AutoGen. Semantic Kernel if you were Microsoft-shaped. The frameworks won that war decisively. They won meetups, GitHub stars, conference talks, hackathon prizes, and the entire mindshare
Future of Work
The first AI employee was easy. You named her, gave her an inbox, and watched her clear your morning email backlog. Magic. The second one was almost as easy. A sales rep this time, with his own phone number, who started qualifying inbound leads while the EA handled scheduling. Two
Product
Closing the Last Mile: AI Employees Now Ship Live Websites in One Command You ask your marketing strategist to spin up a landing page for next week's product launch. She drafts the copy, generates the hero image, writes the HTML and CSS, and hands you a folder of
AI Agents
Security operations centers have a dirty secret: most of them are drowning. The average enterprise SOC receives thousands of alerts per day. Analysts triage maybe 10% of them manually. The rest? Logged, ignored, or auto-closed by rules that were written two years ago for a threat landscape that no longer
AI Agents
For the last decade, every AI conversation has ended with the same answer: buy more GPUs. More VRAM, more CUDA cores, more power. Training a model? GPUs. Running inference? Also GPUs. Building a multi-agent system that needs to sustain thousands of concurrent reasoning chains? Well, GPUs again, I guess. NVIDIA
AI Agents
On March 17, Meta's engineering blog dropped a post that most people scrolled past. No flashy product launch, no consumer-facing feature. Just a technical write-up about something called REA — the Ranking Engineer Agent. Here's what REA does: it autonomously generates hypotheses about how to improve Meta&
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
Every company deploying AI agents right now is making the same mistake. They're taking their existing workflows — the ones that were already broken when humans ran them — and handing them to an agent. Then they're surprised when the agent makes things worse. Deloitte has a word
Business
Gartner just dropped a number that should make every business owner sit up straight: 40% of enterprise applications will include task-specific AI agents by the end of 2026. That's up from less than 5% today. Not AI assistants. Not chatbots. AI agents -- software that autonomously executes complex,
AI Agents
The same lesson software learned 15 years ago with microservices, AI agents are learning now: one agent can't do everything. Gartner reported a 1,445% surge in multi-agent system enquiries between Q1 2024 and Q2 2025. That's not a typo. The interest in orchestrating multiple specialised
AI Agents
Gartner dropped a stat last year that should worry every business leader shopping for AI solutions: of the thousands of vendors claiming to sell "AI agents," only about 130 are actually building genuinely agentic systems. The rest? They're agent washing. What Is Agent Washing? The term