Enterprises are racing to build AI agents for customer support, procurement, coding, and planning. But the real transformation begins when the agents start working together. Recent research by HFS ...

Agent workflows make transport a first-order concern. Multi-turn, tool-heavy loops amplify overhead that is negligible in ...

But in practice, prompt iteration has historically felt disjointed and slow. Makers previously balanced their flow of work ...

Multi-agent systems, like microservices, can be powerful. But most enterprises risk adding distributed complexity long before ...

Note: This article is the second in a two-part series. Click here to read Part 1: Why Multi-Agent Systems Outperform Traditional Automation.Why Multi-Agent Autonomy Requires a New Approach to ...

AGNTCY addresses fundamental infrastructure gaps that have prevented AI agents from working together at enterprise scale. The framework provides core capabilities that mirror traditional networking ...

Large language models like ChatGPT play an ever-evolving role in the modern business landscape. Your curiosity may have led you to engage two AI models in conversation before, but have you considered ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...