Part of the Agent Engineering Stack: From Zero to Production in 3 Days track — 3 classes, take them in any order.
See the whole track →Overview
This is the production tier: not toy agents, but swarms that survive real load. You'll gate quality with generator-critic loops that evaluate, refine, and refuse to ship below your bar; orchestrate long-running task agents by goal — polling for stalls, capping turns, and killing the infinite loops that wreck real systems. You'll trace every hop of a multi-agent run (who did what, where it broke, what it cost), guardrail the swarm by validating inputs and outputs, fencing tool access, and keeping a human in the loop — and finally build an agent that builds agents: a reusable library that loads MCP tools on demand. You leave with the observability, evaluation, and reliability craft that separates a demo from something you'd actually run — and control of every agent in it.
Where This Class Leads
What you leave able to do
- configure an open model endpoint behind a provider interface
- verify an agents actions with a critic
- construct a multi agent conversation with turn taking
- synthesise a self extending agent behind a review gate
- select among agent architectures
- reconcile agents from different toolchains into one run
How you show it. One transcript containing agents from at least two frameworks and one self-hosted backend, plus the script chaining its output into a second task.
It sits on one path
🤖 Build production AI systems from prompt to deployment. 10 of 13 after Advanced Retrieval Augmented Generation · before Agentic SDLCAbout 24 hours of practice sit behind this one. See what your hours buy.
Join Us
- 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.
🔒 Secure payment via Stripe
🎓 9 scholarship seats available. Not enrolling, but want to put someone through this class?
❤️ Sponsor a seatWant to schedule this class for your team?
Contact us: liz@themultiverse.school