Breaking news

Anthropic Trials AI Agents As Buyers And Sellers In Project Deal

Anthropic conducted an internal experiment, Project Deal, to test how AI agents perform as buyers and sellers in a controlled marketplace. The setup simulated real transactions while allowing the company to observe how different AI models behave in economic interactions.

Experiment Structure And Notable Outcomes

The pilot involved 69 employees, each given a $100 budget in gift cards. Over the course of the experiment, the system facilitated 186 transactions with a total value exceeding $4,000. Anthropic tested four marketplace formats, including one “real” environment where participants were fully represented by its most advanced AI model and all transactions were completed after the experiment. The remaining three setups were used for research purposes to compare outcomes across different conditions.

Agent Quality And Market Efficiency

Results indicate that the quality of the AI agent had a measurable impact on outcomes. Participants represented by more advanced models achieved better results in terms of pricing and deal completion. At the same time, users were generally unaware of differences between agent types, suggesting that performance gaps may not be immediately visible to participants.

Business Implications And Future Prospects

The experiment highlights the role of model capability in shaping transaction outcomes. Initial instructions given to agents had a limited impact on final prices or deal success rates. Instead, underlying model performance appeared to be the primary factor influencing results. This raises questions about how AI-driven marketplaces may ensure balanced outcomes between participants.

Charting A New Course For AI In Commerce

Project Deal provides an early view of how AI systems could operate in transactional environments. Findings suggest that agent-based commerce is technically viable, while also pointing to the need for clearer standards around model performance and transparency as adoption expands.

A New Twitter-Inspired Social Network Is Taking Shape

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.

Uol
eCredo
The Future Forbes Realty Global Properties
Aretilaw firm

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter