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
For a long time, AI was something that lived inside our tools. A smarter autocomplete, a summarize button, a chatbot in the corner. That’s changing. Now the software spots a problem, decides who should deal with it, passes the work along, and then taps a person on the shoulder when it needs a call made. … Read more
A customer asks your support agent, “Can I still get a refund?” The agent retrieves a refund policy from 2023, finds a decent match, and replies: “Yes, refunds are available within 30 days.” It sounds right. It’s polite, specific, and confident. It’s also wrong, because the policy changed last month. The agent didn’t fail because … Read more
We usually build AI agents to work together. One plans, one researches, one writes code, one holds the keys. That teamwork is the point, but it also opens a hole most teams aren’t watching. An agent will often trust a request from another agent more than the same request from an outside user, even when … Read more
The infrastructure story isn’t how many people open an AI app. It’s how much work keeps running after they stop typing. Picture this. You tell an AI assistant to fix a broken app and make sure it works. Then you close the window and go make coffee. On the other end, the job has barely … Read more
For years now, using AI has meant the same little ritual. You type a request, wait, read what comes back, tweak it, and go again. It works. But the whole thing runs on one assumption: nothing happens until you say so. Perplexity’s new Teammates challenge that. They’re persistent agents that plan work, coordinate other agents, … Read more
Picture a support bot that answers 40,000 questions a week. Latency is fine, the vector database is up, and the index size hasn’t moved in a month. Then someone in finance mentions that the bot is still quoting last quarter’s refund policy. Nothing crashed, so no alert fired. The knowledge base drifted, and nobody was … Read more