The Rise of Agentic AI: What It Means for Human Work
As AI agents take on increasingly complex, multi-step tasks, the question isn't whether they'll transform work—it's how we shape that transformation together.
Exploring AI agents, autonomous systems, and the future of human-centered computing.
As AI agents take on increasingly complex, multi-step tasks, the question isn't whether they'll transform work—it's how we shape that transformation together.
Traditional UX principles were built around a human operating an interface. What happens when the interface itself is an agent?
The latest model release includes a new 'agent mode' with built-in tool use, long-horizon planning, and improved reliability for multi-step tasks.
The new API allows developers to give Claude structured access to external tools, enabling reliable function calling in production agentic pipelines.
The first enforcement wave targets high-risk AI systems. Legal experts say agentic systems operating in healthcare and finance face the most scrutiny.
Researchers demonstrate a framework for coordinating dozens of specialized agents toward a shared goal, with humans maintaining oversight at key decision points.
12:47A clear introduction to what makes AI agents different from ordinary AI, and why it matters for everyone—not just engineers.
28:15A step-by-step walkthrough of building a reliable agentic pipeline: tool design, error handling, observability, and human-in-the-loop checkpoints.
54:02A panel conversation on accountability, transparency, and the moral dimensions of deploying autonomous systems in high-stakes domains.