Vercel Eve Beginner to Pro Build & Deploy Agentic AI AgentsPublished 6/2026
Created by Tom Phillips, WebDevEducation (Tom Phillips)
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels |
Genre: eLearning |
Language: English |
Duration: 16 Lectures ( 1h 49m ) |
Size: 2.5 GB
⚡ Build AI agents the filesystem-first way with Vercel Eve, where a folder of files is your agent
⚡ Connect an agent to a real database using typed tools that create and read records
⚡ Give your agent domain knowledge and procedures with on-demand skills
⚡ Integrate external services over MCP (Model Context Protocol)
⚡ Put risky actions behind human approval gates that appear as buttons your team taps
⚡ Schedule autonomous tasks with cron - work that runs every day with nobody present
Requirements❗ A free Vercel account (we'll set up everything else together)
❗ No prior experience with AI agents or Vercel Eve required - we start from zero
DescriptionAI agents are everywhere, but most tutorials stop at a toy chatbot that can't do anything real. This course is different. You'll learn Vercel Eve, Vercel's open-source framework for building production AI agents, by building one complete, genuinely useful project, from an empty folder all the way to a deployed, multi-channel application.
The project you'll buildYour project is a real-world AI assistant for a
real estate sales agency. The kind of software a business would actually pay for. From Slack, real-estate agents talk to your Eve agent in plain language to
✨ add and update property listings (using custom tools)
✨ search inventory against a buyer's exact
Requirements✨ mark properties as sold
✨ book viewings, and receive a daily "your viewings today" digest delivered automatically (using scheduled tasks)
✨ see sales performance as charts generated on the fly
✨ and write polished, accurate property
area Descriptions by researching the live web (using Exa MCP)
It's all driven by a single database, and
every feature is chosen to teach a specific Eve building block, so by the end, the patterns are yours to reuse on any agent, in any domain. The real estate app is just the vehicle; the skills transfer everywhere.
Why Vercel Eve, and why nowEve is new, which means the developers who learn it now are early. It's built on Vercel, so you get serverless deployment, scheduled jobs, sandboxed compute, managed authentication, and model routing out of the box. And its filesystem-first design means adding a capability is as simple as adding a file.
What makes this course differentThis isn't a string of disconnected demos. It's
one coherent project that grows module by module, the way you'd actually build software, and it doesn't dodge the hard parts.
The examples are deliberately real and useful, no throwaway projects, but they stay simple enough that you can follow along and build every piece yourself.
By the end you won't just understand Vercel Eve, you'll have
built and shipped a real, multi-channel AI agent, and you'll know how to design, secure, schedule, and deploy your own.
Who this course is for⭐ Developers comfortable with JavaScript or TypeScript who want to build real, deployable AI agents
⭐ Anyone who's called an LLM API or used ChatGPT and wants to learn how to turn a model into actual software
⭐ Engineers who want an early, in-demand skill in the fast-moving AI agent space
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