Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the CTO of an AI-native email management startup, I've spent the past year building multi ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

What if the key to solving complex, high-stakes challenges in industries like healthcare, cybersecurity, or customer service wasn’t a human expert, but an intelligent system that never sleeps? Enter ...

I've been following Claude Code closely, and it's already one of the most capable AI coding tools available. It doesn't just autocomplete, it reasons through problems and works autonomously across ...

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

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 ...

The Hermes Agent is a structured framework designed to streamline automation and task management through a seven-level approach. As explained by David Ondrej, each level introduces new functionalities ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties.