One-Day Intensive

Intro to Agents: 1-Day Intensive

08.03.26 | 10:00 AM - 4:00 PM PDT · 6 hours in one focused day

What You'll Master

  • How to build agents using the ReACT pattern (Reason, Act, Observe)
  • Request-response agents with Claude Agent SDK and OpenAI Agents SDK
  • RAG implementation with FAISS and pgvector for retrieval
  • Building your own minimal agent framework (~140 lines of code)
  • Multi-agent coordination patterns (sequential, parallel, hierarchical)
  • Framework comparison: Autogen, LangGraph, OpenAI Swarm
  • When to use agents vs. simple prompts and common pitfalls
Pay What You Can →

🔒 Secure checkout via Stripe

💼 Employer footing the bill? We'll invoice you from Manifold with corporate-friendly titles.

🎓 0 scholarship seats available — you can still apply! · sponsor one →

Part of the Agent Engineering Stack: From Zero to Production in 3 Days track — 8 classes, take them in any order.

See the whole track →
  1. Intro to Agents: 1-Day Intensive 15 Sep
  2. Context Engineering 16 Sep
  3. Production Agent Engineering 17 Sep
  4. Intro to Agents: 1-Day Intensive You're here
  5. Context Engineering Date TBA
  6. Agentic SDLC Date TBA
  7. Agentic SDLC Date TBA
  8. Agentic SDLC: Ship Software with AI Agent Teams Date TBA

Overview

This intensive teaches you how to build autonomous agents from scratch in a single day. This is a condensed version of our full 8-week Intro to Agents course, covering essential patterns: the basic agent pattern (ReACT), request-response agents with production frameworks, RAG with vector databases, building your own agent framework, and multi-agent coordination. Perfect for developers who want hands-on experience with agent fundamentals before diving into the full course.

Who this is for & what you'll need

🔵 Solo codingYou should be able to write in some language on your own.
🖥️ A few installsYou'll install a couple of tools — we'll help you in class.

Where This Class Leads

What you leave able to do

  • construct a retrieval system
  • construct an agent that uses tools
  • govern a swarm by information hierarchy
  • re architect an agent as a stateless reducer
  • reconcile agents from different toolchains into one run
  • select among agent architectures
  • synthesise a self extending agent behind a review gate

How you show it. A diff the agent authored to its own prompt or toolset, the benchmark run that accepted it, and a logged rejection with the reason recorded.

It sits on 3 paths

🤖 Build production AI systems from prompt to deployment. 6 of 12 after Claude Model Context Protocol · before Prompt Engineering 🧑‍💼 Founder with an AI-first company. 6 of 7 after Context Engineering · before AI Security: Governance, Standards and Safety Cases 🧙 Build strange systems that change how people think. 4 of 8 after The Interactive Fiction Intensive · before Automate Your Email: No Code AI Automation

About 67 hours of practice sit behind this one. See what your hours buy.

Join Us

One-Day Intensive
Suggested $ 350 · pay what you can
  • Your seat in the class
  • Lifetime access to materials
  • Sponsors 1 scholarship seat for someone else

A minimum price keeps out spam. Need to pay less? Apply for a scholarship — no one is turned away for lack of funds.

Pay What You Can

🔒 Secure payment via Stripe

Want to schedule this class for your team?

Contact us: liz@themultiverse.school