Vercel Ship AI overview

Duration: 5:14

They really released too much with Vercel Ship AI.

Frequently asked questions

What was released in Vercel Ship AI?
Eight things worth knowing about. The AI SDK (TypeScript-first way to talk to AI models), an expanded Vercel marketplace for one-click AI tooling, the Workflow SDK for durable multi-step processes, the Vercel Agent for observability and incident debugging, Vercel for Python, a "build agents inhouse" initiative, a Lead Agent for form enrichment, and a Data Analyst Agent that writes SQL against your data warehouse from plain-English questions in Slack.
What is the Vercel AI SDK?
A TypeScript library that gives you a clean, unified interface for talking to AI models. The beta at the time of recording added controls to stop tool calls running indefinitely. The main pitch is simplicity, swap models without rewriting your integration.
What is the Vercel Workflow SDK?
A tool for building durable, multi-step processes in TypeScript. Each step is retried automatically on failure, and a workflow can pause and resume after days or weeks without keeping a server running. Useful for anything where reliability matters more than speed: lead enrichment, onboarding sequences, long-running research tasks.
What is the Vercel Agent?
An AI layer on top of Vercel's observability tools. Instead of manually sifting through logs after a 500 error, the Vercel Agent diagnoses the cause for you. Based on internal usage at the time of the video, it correctly identified the root cause every time it fired, covering about six or seven incidents.
What is the Vercel Lead Agent?
An open-source reference implementation that enriches inbound leads. A contact form submission triggers a workflow that researches the company, then surfaces a summary (company size, intent, and other details) so you're not doing that manually for every inquiry. Vercel estimates it saves around 15 minutes per lead.
What is the Vercel Data Analyst Agent?
An agent you can drop into Slack that answers plain-English questions about your data. Ask it how many people visited last month or what pages drove conversions, and it writes and runs the SQL against your data warehouse. Useful for teams that need quick data access without waiting on a data analyst or writing queries themselves.


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