What we learned building agents at Vercel

This post details Vercel's internal methodology for identifying and building high-ROI agentic AI projects, focusing on tasks with low cognitive load and high repetition. It introduces two internal use cases: a lead processing agent that automates initial qualification and email composition, and an anti-abuse agent that analyzes URLs for phishing or copyright content and recommends actions. The post also highlights open-sourced agent templates for lead processing, data analysis, flight booking, and a Slack storybot, and mentions a hands-on program for guided agent implementation.