Google today announced an early preview of WebMCP, a new protocol that defines how AI agents interact with websites. WebMCP lets developers tell large language models exactly what each button or link ...

In the evolving landscape of AI, enterprises face the challenge of integrating modern solutions with legacy systems that often lack the necessary application programming interfaces (APIs) for seamless ...

A reinforcement learning environment is a fail-safe digital practice room where an agent can afford to make mistakes and ...

A team of Apple researchers set out to understand what real users expect from AI agents, and how they’d rather interact with them. Here’s what they found. In the study, titled Mapping the Design Space ...

Models will commoditize. Capabilities will converge. What will endure are the interfaces agents already rely on, and the data and execution capabilities behind them.

AI systems are no longer just isolated models responding to human prompts.  In modern production environments, they are increasingly chained together – delegating tasks, calling tools, and ...