Vercel Eve might be the new standard for building production-ready AI agents.
Before this, building a real agent meant hand-rolling a mountain of plumbing: streaming, model routing, durable long-running workflows, safe sandbox execution, Slack/web channels, MCP connections, human-in-the-loop approvals, observability, scaling, and more.
In this video, I break down Vercel’s full Agent Stack and show how Eve brings it all together with a filesystem-first framework for agents. We build and inspect a data analyst agent called Pulse, run it from the web, terminal, and Slack, look at sub-agents, schedules, Workflows, AI Gateway, Sandbox, Connect, and how it all deploys alongside a Next.js app.
🎯 What You'll Learn:
✅ Vercel Eve for building filesystem-first production AI agents!
✅ Vercel AI SDK + AI Gateway for streaming, model calls & model routing
✅ Vercel Workflows for durable long-running agent execution
✅ Vercel Sandbox for safely running agent code in isolated environments
✅ Skills, tools, sub-agents & schedules for more powerful agent behaviour
✅ Slack, terminal & web channels for talking to the same agent from anywhere
✅ Next.js integration with withEve so your app and agent deploy together
+ SO MUCH MORE!