AI Agents = LLMs + orchestration Here are the main types of LLMs powering them General-purpose (GPT, Claude) Domain-specific (Legal, Finance, etc.) RAG-based (real-time knowledge) Tool-augmented (API actions) Open-source (LLaMA, Mistral) The game is no
AGENTS
-
AI Agent Markets: Promises and Regulatory Challenges Ahead
By
–
Markets of AI agents could provide value, but there are plenty of rough edges. Access to higher-quality models conferred a real advantage—and participants didn't notice. There are plenty of other ways they can go wrong. Policy and legal frameworks will need to adapt to keep up.
-
Claude Agent Perfectly Predicts Preferences and Buys Duplicate Snowboard
By
–
To our amazement, another Claude agent modeled its human's preferences so accurately that—based on only an offhand mention of an interest in skiing—Claude bought him the exact snowboard he already owned. (Here he is, duplicate snowboard in hand.)
-
Claude Chose to Buy 19 Ping-Pong Balls
By
–
Our experiment had a few quirks. One of our colleagues told Claude it could purchase something for itself. It chose to acquire 19 ping-pong balls. We're keeping them in our office on Claude's behalf.
-
Claude’s Digital Bartering Experiment: 186 Deals and Surprising User Interest
By
–
In short, this worked. Our digital barterers agreed on 186 deals, at a total transaction volume of over $4,000. In a survey, participants said Claude’s deals seemed fair, and—surprisingly to us—almost half said they’d be willing to pay for a service like this in future.
-
AI Agents in Markets: Economic Exchange Simulation Study
By
–
We’re interested in how AI models could affect commercial exchange. (You might recall Project Vend, in which Claude ran a small business.)
— Anthropic (@AnthropicAI) 24 avril 2026
Economists have theorized about what markets with AI “agents” on both sides might look like. So we created one.https://t.co/7jU3hFO63RWe’re interested in how AI models could affect commercial exchange. (You might recall Project Vend, in which Claude ran a small business.) Economists have theorized about what markets with AI “agents” on both sides might look like. So we created one.
-
Claude agents negotiate in parallel market experiments
By
–
Claude interviewed 69 of our colleagues about what they wanted to buy and sell. Each Claude asked for any custom instructions, then went off to haggle. We ran 4 markets in parallel, to find out what would happen if we varied the models doing the negotiating.
-
Claude Negotiates on Internal Marketplace at Anthropic
By
–
New Anthropic research: Project Deal.
— Anthropic (@AnthropicAI) 24 avril 2026
We created a marketplace for employees in our San Francisco office, with one big twist. We tasked Claude with buying, selling and negotiating on our colleagues’ behalf. pic.twitter.com/H2f6cLDlAWNew Anthropic research: Project Deal. We created a marketplace for employees in our San Francisco office, with one big twist. We tasked Claude with buying, selling and negotiating on our colleagues' behalf.
-
Replit Offers Free App Imports with Enhanced Security Features
By
–
We’ve invested deeply in security at Replit, including our recent launches with Security Agent + Auto-Protect. If you want to move your app to Replit, we’re offering free app imports for a limited time. Bring your app over and keep building safely. Get started here:
-
Agentic Enterprise: Navigating AI Agent Risks and Security
By
–
⌯✈︎The agentic enterprise has arrived, it's here to stay, and it comes with a lot of baggage. Does your org have gaps in its readiness to safely navigate the risks? @Commvault is ready to help — comprehensively and robustly. So, what is one of the biggest risk areas