Saltar al contenido principal

7 publicaciones etiquetados con "Agentic AI"

Agentic AI refers to artificial intelligence systems that can autonomously perform tasks, make decisions, and interact with their environment to achieve specific goals.

Ver Todas las Etiquetas

A common problem in production happens when an agent can see many tools, but it still needs to know which action is appropriate now, what must happen first, and when it should stop and ask. The non-deterministic nature of AI agents makes this particularly challenging without structured guidance.

The HAPI Capability Graph and Capability Planning address this problem by providing structured guidance for the agent.

Enterprise AI is entering a new phase. Not the hype phase. Not the experimentation phase. The operational phase — where organizations must make AI safe, governed, and useful for real teams.

Over the last year, a clear pattern has emerged inside large enterprises experimenting with AI automation. What starts as scattered experimentation quickly evolves into a structured platform strategy.

Something subtle but massive just happened in developer tooling. The IDE Is No Longer the Center of Development — Agent Orchestration Is.

For decades, the IDE was the center of software development. Everything revolved around it: edit → run → debug → commit.

Now something else is emerging.

A control plane for AI agents.