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!