🤖 Agent Builder
Everything you need to design, prompt, connect and evaluate AI agents: fundamentals, agentic prompting, architecture patterns and the Model Context Protocol.
- 1
Prompting 101: The Anatomy of a Production-Grade Prompt
Anthropic's Applied AI team shows how to evolve a one-line prompt into a reliable, production-quality prompt — structure, XML tags, examples, giving the model an out, and prefills.
beginner · ~24 min
- 2
Prompting for Agents: Steering Models That Act
Agents are models using tools in a loop. This lesson covers when to build one, how to prompt it — heuristics, budgets, guardrails — and how to evaluate something that takes hundreds of steps.
intermediate · ~25 min
- 3
Building Effective Agents: Workflows, Agents and the Patterns Between
Anthropic's foundational essay distilled into a class: the five workflow patterns, what truly counts as an agent, why simplicity wins, and how to design tools your agent can actually use.
intermediate · ~20 min
- 4
Tool, Skill, or Subagent? Decomposing an Agent
The decision framework for knowing when agent logic belongs in a tool, a skill, or a subagent — illustrated through a live decomposition of a 400-line inventory agent.
intermediate · ~45 min
- 5
Trustworthy Agentic Workflows with a Custom DSL
How Elicit built AshPL — a Turing-incomplete, purely functional DSL — to make their AI research assistant legible, auditable, and faithfully executable.
advanced · ~30 min
- 6
MCP 201: How the Model Context Protocol Really Works
Beyond the hello-world server: why MCP exists, its client–server architecture, the three primitives and who controls them, transports, and where the protocol is heading.
advanced · ~30 min
- 7
Ship Your First Managed Agent: Agent, Environment, Session
Claude Managed Agents is the fastest path from prototype to production-ready agent. This lesson walks through the three core primitives — Agent (brain), Environment (hands), Session (the binding) — and shows how to wire them into a working incident-response agent.
intermediate · ~37 min
- 8
Agents That Remember: Memory Stores and Dreaming in Claude Managed Agents
Sessions are isolated by default — agents forget everything when they close. This lesson shows how to wire persistent memory onto your agents and use Dreaming to consolidate and improve what they remember over time.
intermediate · ~29 min
- 9
Memory and Dreaming: Building Self-Improving Agents
Design production memory systems for multi-agent architectures using filesystem-based memory stores, optimistic concurrency, and the dreaming feedback loop.
advanced · ~25 min
- 10
Giving Agents Their Own Computers
How Cursor gave cloud agents onboarding, dev environments, and the ability to self-report problems — and what the 'agent experience' means for teams shipping parallel agents at scale.
intermediate · ~15 min
- 11
Agent Harness Engineering: Chasing Friction
AirOps's hard-won lessons from shipping Claude agents to non-technical enterprise users: intentional scoping, specialized tools over primitive exploration, and sub-agents for context isolation.
intermediate · ~27 min
- 12
Evals for Taste: How to Measure and Hill-Climb Your Agent
Without evals you're flying blind — reactive to complaints, unable to verify improvements. This lesson shows how to build code and model graders, run QA loops, and turn subjective quality into something you can act on.
advanced · ~39 min
- 13
Evaluating and Improving Agents at Scale
How Replit built VibeBench and the Telescope continuous improvement system to turn overnight eval runs into shipped model upgrades — without a human in the loop.
advanced · ~28 min