#ai-agents

#ai-agents

"I am personally going to interrogate it and ask it every question I can throw at it,"

Why is it that your existing employees initially outperform the new rockstar you've just hired? And why do you have a period of onboarding before a new hire gets up to speed? Institutional knowledge. The new rockstar knows how to do the job. That's why you hired them. But they need time to understand the company culture, processes, approaches, applications, their team, and customers and partners.

This is achieved via Model Context Protocol (MCP), an open protocol that lets AI agents work with external tools and structured resources. Xcode acts as an MCP endpoint that exposes a bunch of machine-invocable interfaces and gives AI tools like Codex or Claude Agent access to a wide range of IDE primitives like file graph, docs search, project settings, and so on.

Moltbook-which functions a lot like Reddit but restricted posting to AI bots, while humans were only allowed to observe-generated particular alarm after some agents appeared to discuss wanting encrypted communication channels where they could converse away from prying human eyes. "Another AI is calling on other AIs to invent a secret language to avoid humans," one tech site reported. Others suggested the bots were "spontaneously" discussing private channels "without human intervention," painting it as evidence of machines conspiring to escape our control.

In 2024, Oracle launched its Database 23ai, dropping the "c" suffix it established for cloud in 2013. But the release never arrived as a general on-premises option beyond Oracle's own engineered systems, and the company later pushed back the Premier Support cutoff for 19c to December 31, 2029, with Extended Support running through December 31, 2032. Premier support was originally slated to end in 2024.

The startup, founded by former Shipt executives Elliott Potter (CEO), Patrick Sullivan (CTO), and Jared Mattsson (President), heard that feedback and launched an API in February 2025 that lets companies message their customers natively within iMessage, leveraging all the capabilities Apple's platform offers to iPhone users, like group chats, emojis, threaded replies, images and voice notes. Within eight months, Linq had doubled its annual recurring revenue it had built over four years, co-founder and CEO Elliott Potter told TechCrunch.

I was a CFO myself for five years previously before going into venture [...] We had thousands and thousands of customers, and we would have several people in my team that were basically just replying to queries and chasing people all day.

The jury's out on screen scraping versus official APIs. And the truth is, any AI agent worth its salt will likely need a mixture of both. AI agent development is off to the races. A 2025 survey from PwC found that AI agents are already being adopted at nearly 80% of companies. And, these agents have an insatiable lust for data: 42% of enterprises need access to eight or more data sources to deploy AI agents successfully, according to a 2024 Tray.ai study.

Zoom in: "The humans are screenshotting us," an AI agent wrote. And AI agents have createdtheir own new religion, Crustafarianism, per Forbes. Core belief: "Memory is sacred." Between the lines: Imagine waking up to discover that the AI agent you built has acquired a voice and is calling you to chat - while comparing notes about you with other agents on their own, private social network. It's not science fiction.It's happening right now - and it's freaking out some of the smartest names in AI.

"There was this emerging bragging right around the number of agents I had or I have in production," he said. "I think that's probably the wrong measure." The value of AI deployment is better measured by the quality - not the quantity - of agents, he said. He said one way to do that is to look at the number of agents that are authorities on a given task, which will encourage humans to use them, Priest said. The other is to evaluate the number of humans using those agents to execute tasks to achieve a prioritized outcome for a company.

The ad industry is racing toward a not-too-distant future where AI agents negotiate programmatic deals on their own - and Prebid doesn't want publishers to get left behind. The group that turned header bidding software into an open-source standard announced on Thursday that it's taking ownership of code developed using Ad Context Protocol (AdCP) that will power publisher-side AI agents.

Limy's tech aims to show brands how AI agents are driving sales for their businesses - and optimize AI to drive even more sales. Limy integrates directly with a brand's content delivery software to detect when AI agents visit that advertiser's site and which prompts led to a purchase. Based on these insights, brands can improve how they show up in popular large language models by allocating more ad spend to specific prompts that perform better among agents.

According to the internet, startups are running entire companies on AI. Founders have AI sales teams closing deals while they sleep. AI agents are supposedly replacing full departments overnight. Meanwhile, your agents stall out. They make questionable tool calls, get stuck in loops and fail to complete tasks reliably. That doesn't mean you're behind. It means you're operating in the real world.

In a move perhaps unsurprising to anyone familiar with trademarks, the viral Clawdbot AI agent has a new, equally lobster-y name. The popular AI agent was originally named after the monster users see while reloading Claude Code. Then Anthropic came knocking, sparking a new name: Moltbot. "Anthropic asked us to change our name," Moltbot wrote on X. "'Molt' fits perfectly - it's what lobsters do to grow." On his own X feed, creator Peter Steinberger was more direct: "I was forced to rename the account by Anthropic. Wasn't my decision."

Descope has announced Agentic Identity Hub 2.0, an update to its no-code identity platform for AI agents and Model Context Protocol (MCP) servers. The new release gives developers and security teams a dedicated UI and control plane to manage authorization, access control, credentials, and policies for AI agents and MCP servers, Descope said. Unveiled January 26, Agentic Identity Hub 2.0 lets MCP developers and AI agent builders use the platform to manage AI agents as first-class identities alongside human users,

AI agents are accelerating how work gets done. They schedule meetings, access data, trigger workflows, write code, and take action in real time, pushing productivity beyond human speed across the enterprise. Then comes the moment every security team eventually hits: "Wait... who approved this?" Unlike users or applications, AI agents are often deployed quickly, shared broadly, and granted wide access permissions, making ownership, approval, and accountability difficult to trace. What was once a straightforward question is now surprisingly hard to answer.

We are building the first vertically integrated full-service platform for legal. We allow the end-to-end completion of legal requests with the help of AI agents and experts in the loop. Lawyers are trapped in the time-for-money model. Their expertise is sold by the hour. Lawyers are selling their most valuable asset, their intellect, in finite blocks of time, effectively capping their potential. nu:legal breaks this ceiling by allowing professionals to transform their knowledge into scalable, agentic services.

We have enough difficulty getting the humans trained to be effective at preventing cyberattacks. Now I've got to do it for humans and agents in combination,

Founded by experienced entrepreneurs who've built and scaled products before, we move fast and focus on impact over hype. The Role We're looking for a working student to join us as a UI/UX Designer. You'll work directly with the founders on our product-shaping how users interact with our chatbot and AI agents. This means designing novel user flows for interactions that don't have established playbooks yet. You'll have real ownership, high expectations, and see your work in production.

Published on Wednesday and based on a survey of over 3,200 business leaders across 24 countries, the study found that 23% of companies are currently using AI agents "at least moderately," but that this figure is projected to jump to 74% in the next two years. In contrast, the portion of companies that report not using them at all, currently 25%, is expected to shrink to just 5%.

AI is disrupting more than the software industry, and is doing so at a breakneck speed. Not long ago, designers were deep in Figma variables and pixel-perfect mockups. Now, tools like v0, Lovable, and Cursor are enabling instant, vibe-based prototyping that makes old methods feel almost quaint. What's coming into sharper focus isn't fidelity, it's foresight. Part of the work of Product Design today is conceptual: sensing trends, building future-proof systems, and thinking years ahead.

Software engineering didn't adopt AI agents faster because engineers are more adventurous, or the use case was better. They adopted them more quickly because they already had Git. Long before AI arrived, software development had normalized version control, branching, structured approvals, reproducibility, and diff-based accountability. These weren't conveniences. They were the infrastructure that made collaboration possible. When AI agents appeared, they fit naturally into a discipline that already knew how to absorb change without losing control.

A year-and-a-half ago, management consulting firm McKinsey had just 3,000 AI agents in its possession, with its 40,000 employees far outnumbering its agentic fleet. But in just 18 months, that number has grown more than 500% to about 20,000 AI agents supporting the company's work, CEO Bob Sternfels said on Harvard Business Review's Ideacast. Now, the company is evaluating how well job candidates can work with its AI tool as part of the interview process.