AI agents have moved past answering questions. They pull records, call APIs, update workflows, escalate cases, and sometimes kick off real business actions with very little human involvement. That raises a question no accuracy benchmark can answer: when a swarm of agents acts across your systems, who is accountable? In regulated industries, “the model” isn’t … Read more
Picture an AI agent that passes every safety benchmark, turns down every harmful prompt, and breezes through every sandboxed task. Now picture it helping a system fail badly in production. That’s the uncomfortable possibility as autonomous agents move out of single-user assistant roles and into multi-agent setups, where they share memory, hand off work, call … Read more
For years, the AI race has been told as a scoreboard story. Whose model is better at math, coding, reasoning? But DeepSeek just shared a number that doesn’t fit that story. Its Harness agent app hit 1.54 million daily active users and is chewing through roughly 92 trillion tokens a day. I don’t think that’s … Read more
For most of the generative AI era, using AI has gone the same way. You notice something, open a chat window, type a prompt, and wait. The AI is smart, but it only speaks when spoken to. Perplexity’s new Teammates try something different. Instead of sitting idle until you prompt them, they watch ongoing work, … Read more
For about two years, most companies have treated agentic AI as an engineering project. Hire the data scientists, wire up the APIs, write the orchestration logic, lock down permissions, and cross your fingers that the pilot survives its first week in production. IBM and Microsoft think there’s a better way. Their new platform, Imagine Enterprise, … Read more
Writing code used to be the slow part of building software. Now an AI agent can turn out a pull request in minutes, and the slow part has quietly moved somewhere else: deciding whether that code should ship. CodeRabbit’s recent announcement shows this well. The company says it now ships about 20 times more software … Read more
For a while, “we have an AI chatbot” was a selling point. Now it barely registers. Buyers have started asking harder questions: can this thing understand our data, and can it actually finish a piece of work without someone copying and pasting its answer into another system? Prindustry’s recent launch is a good case study. … Read more
On November 9, 2026, Kolmena launched an agentic AI platform that tries to replace the single chatbot with a team of specialized agents. You describe the outcome you want, and the platform lines up the agents, models, tools, and context to get there, instead of making one assistant research, reason, write, and act all by … Read more
Here’s a scary thought about multi-agent AI: the worst vulnerability might not be malicious code at all. It might be one confident, believable sentence that nobody checked, sitting in a shared workspace that every other agent has been built to trust. Teams are wiring agents together around shared context: task boards, summaries, vector databases, scratchpads, … Read more
Software used to show up finished. A company decided what it could do, you learned its menus and put up with its limits, and if you wanted something changed, you waited for a roadmap, an engineering team, and a release. That arrangement is starting to crack. DeepSeek says its Harness agent platform hit 1.54 million … Read more