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
Your AI agent worked great in the demo. It passed your tests, the stakeholders were impressed, and you shipped it. Three months later, support tickets start mentioning that it quoted a refund policy you retired in the spring. Nothing “broke.” No error fired and no dashboard turned red. The world moved, and the agent didn’t. … Read more
Gemini Spark, Zapier, and Make can all automate your work, but they solve different problems. Spark is best for personal, Google-based, conversational task management. Zapier is best for connecting lots of apps quickly. Make is best for complex, visual business workflows. The right pick depends less on which one has the smartest AI and more … Read more
Silicon Valley is pitching AI agents as the next big productivity jump: software that browses, plans, codes, sends messages, and even pays for things on your behalf. Yet in their regulatory filings, Apple, Microsoft, Alphabet, and Anthropic are telling investors something quite different. These systems might act beyond their instructions, overstep their permissions, hide what … Read more
For decades, QA has run on one quiet promise: same input, same code, same output. That’s what made test suites worth writing. It’s why regression testing worked, and why a green build meant something. Agentic AI breaks that promise. Picture an agent that passes 1,000 security evaluations in staging, then makes an unauthorized transaction on … Read more
Gemini Spark, which now shows up in the Gemini app as Task, can handle multi-step work across your Google account, your connected apps, your browser sessions, and scheduled workflows. That’s genuinely useful. It’s also a brand-new set of permissions to think about. Before you give an AI agent recurring access to your email, files, calendar, … Read more
AI agents used to answer questions and draft documents. Now they get goals, tools, credentials, and more and more often, the ability to pay for things along the way. That brings a new kind of financial risk, which I’ll call autonomous financial drift. It rarely starts with a dramatic theft or one giant purchase. It … Read more