LearnTopic guide

AI Agents

AI agents combine models with tools, state, planning, and control loops to complete multi-step tasks.

Topic overview

Learn tools, routing, planning, memory, execution loops, validation, human handoff, logs, and evaluation.

Core concepts

Deterministic workflows, tool schemas, state machines, guardrails, retries, permissions, and task completion metrics.

Why it matters

Agents can automate richer workflows, but they add cost, latency, and reliability risk if unconstrained.

Interview relevance

Expect questions about when agents are useful, how to prevent tool misuse, and how to measure success.