Learn · Build · Evaluate

Build AI agents that do useful work—and know when to stop.

Agentic Systems Lab is an independent field guide to agent foundations, hands-on implementation, production operations, and the fast-moving ideas shaping autonomous software.

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What the lab covers

Understand

Clear explanations of agents, models, memory, tools, planning, and autonomy.

Build

Practical patterns for workflows, retrieval, tool calling, and multi-agent systems.

Operate

Evaluation, observability, security, cost, governance, and human oversight.

Two useful starting points

Quick answers

What is an agentic AI system?

An agentic AI system uses a model to pursue a goal through multiple steps, often choosing tools, observing results, and adapting its next action.

How is an AI agent different from a chatbot?

A chatbot mainly responds to messages, while an agent can plan work, call tools, maintain state, and take actions toward an outcome within defined limits.