Learning Center
Understand the building blocks of agent-powered products, from interactive interfaces and open protocols to agents that learn from experience.
Build the experience
Understand the interfaces that let people work with agents inside applications.
- The three buckets of the agentic worldAgentic software splits into three buckets: agent orchestration, agent-user connectivity, and agent learning. A mental model for locating any tool in the stack.
- What is agentic UI?Agentic UI is interface built for humans and agents working in one application: streamed agent work, mid-run steering, shared state, and generative UI.
- Agent-native applicationsAgent-native applications treat agents as first-class actors: shared state, real actions, generative UI, every surface, and a learning loop.
- Copilots vs. agentsAgents pursue goals autonomously; copilots are agents embedded in an application, working alongside the user. The difference is the surface, not the tech.
- Why agents break request-responseAgents run for minutes, stream output, take input mid-run, and outlive dropped connections. Why request-response fails them, and what replaces it.
Connect the stack
Learn how AG-UI, MCP, and A2A connect agents to applications, tools, and each other.
Work with people
Explore approvals, corrections, and the ways people guide an agent's work.
- Human-in-the-loopHuman-in-the-loop lets an AI agent pause mid-run for human review, approval, or correction. The interrupt patterns and what the interface must do.
- What is agent steering?Agent steering lets users redirect a running AI agent mid-run: new instructions merge into live work, no restart. What it is and what it requires.
Learn from real use
Discover how real interactions inform better products and better agent behavior.
