How AI Agents Work: Inside Agentic Inference

What happens when an AI agent starts working, and how do we measure its performance? In this episode of Inside the Architecture, we break down how AI agents use models, tools, and context to complete tasks. Follow the work through animated diagrams, then explore how benchmarks and inference infrastructure shape the experience. You’ll learn: How agentic workflows differ from a single prompt and response How tool calls, subagents, and growing context change the workload Why fixed-length tests and recorded-session replay measure different things How to interpret interactivity, latency, concurre