Staging environment

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

Emilio Taylor

Author of Vibe Engineering | Founder, Visao + Helix | AI Systems for RevOps

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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

Emilio Taylor

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—May 31

    May

    26

    Live Session 1 — Build Your First AI Agent (Core System)

    Tue 5/262:00 PM—3:30 PM (UTC)

    May

    28

    Live Session 2 — Add Intelligence + Workflow Design

    Thu 5/282:00 PM—3:30 PM (UTC)

    Build Your AI Agent Foundation

    5 items

Week 2

Jun 1—Jun 4

    Jun

    2

    Live Session 3 — Real-Time AI Agents with LiveKit

    Tue 6/22:00 PM—3:30 PM (UTC)

    Jun

    4

    Live Session 4 — Deploy + Demo Your AI Agent

    Thu 6/42:00 PM—3:30 PM (UTC)

    Add Intelligence + Real-Time Capabilities

    5 items

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

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Reimbursement

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Team discount

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Save 20%+ when 2 or more teammates enroll in the same cohort.

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Private cohort

Run a cohort for your org

A dedicated cohort with a custom schedule and curriculum, tailored to your team.

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$1,200

USD

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