AI Agents & Tools
Agentic systems — tool calling, orchestration and the interfaces that let models act — with the agent system design, the agentic interview handbook, and a tool-schema designer.
Handbooks 2
The Agentic AI Interview Handbook
Twenty topics every senior AI engineer should be able to reason about live — from eval pipelines to reliability patterns for generative systems.
The Agent Evaluations Handbook
A self-contained handbook on evaluating AI agents — theory, interactive widgets, and practical guidance. Trajectory evals, tool-use scoring, LLM-as-judge, observability, and reliability for PMs, engineers, and founders.
AI System Designs 2
Design a Conversational AI
Build a production conversational AI system (think ChatGPT) step by step. See how the request path splits an inference gateway from the model servers, how the context window is assembled and token-budgeted, how conversation memory is stored and recalled, how tokens stream back over a persistent connection, and how guardrails gate every prompt and response — through an interactive diagram that grows with each concept.
Design an AI Agent System
Build an autonomous AI agent step by step. See how the plan-act-observe loop turns a goal into action, how the model emits typed tool calls, how a sandboxed executor runs them safely, how working and long-term memory fit together, and how budgets and approval gates keep a multi-step agent from running away — through an interactive diagram that grows with each concept.