Building AI Agents for Workflow Automation on Vercel
What backend workflow automation with AI agents actually looks like in practice, and where Vercel and Next.js fit.
I’m Tyler Duprey, a Senior Full-Stack Developer specializing in Next.js and the Vercel platform. I help teams automate their backend workflows with AI agents and optimize their frontend for the people actually using their product.
I build AI agents that take repetitive, manual work off your team’s plate — from internal tooling to customer-facing automation — deployed and scaled on Vercel.
I audit and rebuild slow, clunky frontends into fast, well-architected Next.js apps your users actually enjoy using — better Core Web Vitals, better conversion, less technical debt.
Curious whether this fits what you’re working on? Let’s talk.
I write about the Next.js and Vercel ecosystem — rendering strategies, AI agent architecture, performance, and the tools I actually use in client work.
What backend workflow automation with AI agents actually looks like in practice, and where Vercel and Next.js fit.
SSR, SSG, ISR, and PPR explained in terms product teams actually care about: load time, freshness, and infrastructure cost.
A concrete process for diagnosing and fixing Core Web Vitals problems on a Next.js and Vercel stack.
The production-grade concerns — retries, idempotency, and observability — that separate a demo AI agent from something a business can depend on.
A running breakdown of recent Next.js releases, filtered down to what actually changes how production apps should be built.
A case-study look at migrating a legacy frontend to Next.js and Vercel incrementally, without a risky full rewrite.