Vibe Engineering: Build Real-Time AI Agents (LiveKit + Supabase)
Emilio Taylor
Build & Deploy AI Agents
Most AI tutorials stop at prompts. This one ships systems.
Most AI tutorials stop at prompts and demos.
But real AI systems don’t fail at prompts — they fail in execution.
Without workflow state, tool boundaries, retries, and observability, AI features break quickly in production.
In this course, you’ll build and deploy a real-time AI agent using LiveKit and Supabase — not just a demo, but a working system.
You’ll learn how to design AI as workflows, connect tools safely, stream responses in real-time, and handle failure cases like a production engineer.
By the end, you’ll have a deployed agent and a repeatable blueprint you can use in your own product.
What you’ll learn
Build and deploy a real-time AI agent with production-ready patterns you can reuse in your own products.
Implement agent logic with inputs, tools, and execution flow
Connect your agent to real data using Supabase
Deploy a working agent you can demo and extend
Break AI behavior into clear workflow states (input → decision → action)
Model success, failure, and fallback paths
Apply a repeatable system design approach before coding
Stream responses in real-time for interactive experiences
Handle async events and user interactions
Design responsive, real-time AI systems
Implement structured outputs, retries, and guardrails
Add logging and observability for debugging
Control cost and prevent runaway behavior
Learn directly from Emilio
Emilio Taylor
Author of Vibe Engineering | Founder, Visao + Helix | AI Systems for RevOps
Who this course is for
Full-stack engineers (React/JS) who want to build real AI agents—not just prompt demos—and ship systems that actually work in production.
Indie builders who want to quickly build and launch an AI-powered product or agent with a real backend and scalable architecture.
Product engineers and engineering leads looking to establish reliable patterns for building AI agents inside real applications.
Prerequisites
Comfortable building React apps locally
You’ll extend a real codebase, run locally, and ship features quickly without getting blocked on frontend basics.
Basic APIs + database knowledge (CRUD)
Your agent will read and write real data. You should be comfortable working with APIs and basic database patterns.
Willing to write JS/TS and debug issues
This is a code-first course. You’ll read logs, handle failures, and debug behavior to make your AI agent reliable.
What's included
Live sessions
Learn directly from Emilio Taylor in a real-time, interactive format.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
4 live sessions • 10 projects
Week 1
May
26
Live Session 1 — Build Your First AI Agent (Core System)
May
28
Live Session 2 — Add Intelligence + Workflow Design
Build Your AI Agent Foundation
Week 2
Jun
2
Live Session 3 — Real-Time AI Agents with LiveKit
Jun
4
Live Session 4 — Deploy + Demo Your AI Agent
Add Intelligence + Real-Time Capabilities
Schedule
Live sessions
2-3 hrs / week
Live sessions are hands-on and build-focused. We design and implement your AI agent together, covering core patterns, real-time behavior, and production decisions with time for questions.
Tue, May 26
2:00 PM—3:30 PM (UTC)
Thu, May 28
2:00 PM—3:30 PM (UTC)
Tue, Jun 2
2:00 PM—3:30 PM (UTC)
Thu, Jun 4
2:00 PM—3:30 PM (UTC)
Projects
3-4 hrs / week
Project work is where you build your AI agent step-by-step. You’ll implement core logic, add real-time capabilities, and deploy a working system—not just a demo.
Async content
2-3 hrs / week
Async lessons cover setup, supporting patterns, and deeper dives so live sessions stay focused on building and shipping your agent.
Frequently asked questions
$1,200
USD