Next.js build
View case studyJamb
We rebuilt Jamb on Sanity and Next.js, merging two legacy PHP sites into one calm catalogue without losing the SEO equity their antique and reproduction collections had built up.

Vercel agency partners building serious Next.js apps: dashboards, AI products, content platforms and hybrid SaaS surfaces that need more than a pretty front end.
Vercel agency partners
AI chat, customer portal, authenticated workflow, dashboard, CMS-backed product surface. We take early product ideas from brief to production quickly, with the foundations in place for the second and third versions too.
We build the interface, app architecture, content and data layer, and Vercel deployment model together. Auth, caching, streaming AI responses, cost controls, observability and previews are part of the product from the start.
A Silver Solution Partner for Vercel, shipping production Next.js across App Router, React Server Components, streaming, ISR, Server Actions and edge routing. Our delivery process is shaped by the ISO 27001 work we have underway, with clear ownership, documented decisions and sensible conventions from day one.
Jono and his team are absolute rockstars. They blend technical savvy with practical business sense. They are in lock-step with our website goals and have really made our website come to life. Not just a web dev team, they are trusted advisors and truly aligned with our team.

Growth Leader at Tray.ai
Most of our Next.js work starts when a product idea needs to become real quickly, without building on throwaway foundations. An AI chat interface. A customer portal. A partner dashboard. A CMS-backed product surface with authentication, permissions and billing logic sitting behind the public site.
We like that stage. The scope is still moving, but the early technical decisions matter: auth shape, data boundaries, caching, AI provider strategy, deployment model, observability, cost controls and where the app should lean on the server instead of pushing everything into the browser.
Our job is to get you to a first version fast, then make sure it is not a dead end. You get something customers can use, investors can understand and your team can keep extending after the first round of feedback.
Data-heavy screens
Dashboards, reports, portals and account views need data fetching that is boring in the best way. We keep the heavy work on the server, stream the slow parts, and avoid client-side soup unless the interaction really needs it.
AI product interfaces
Chat, generation, review queues, agent workflows, embeddings search, streamed responses and human approval steps. We build the interface around latency, state and failure, not just the happy-path demo.
Content and product together
A SaaS app still needs landing pages, docs, case studies, changelogs and campaign pages. We wire CMS or MDX content into the same design system so the public site and logged-in product do not feel like two companies.
Auth, roles and permissions
We build the boring gates properly: sessions, roles, protected routes, account states, invitation flows and server-side checks. The app should know who is allowed to do what before the button even renders.
Mutations that hold up
Multi-step onboarding, settings screens, uploads, checkout handoffs, CRM syncs and admin actions need validation, optimistic states, retries and clear failure paths. That is where apps feel either polished or held together with tape.
Production operations
Vercel Firewall rules, cache behaviour, secrets, preview deployments, analytics events, error reporting, web vitals, redirects and rollback plans. The app is not finished when it compiles.
Next.js is a strong fit when the product has to mix public demand generation with private application logic. The same build can serve SEO pages, onboarding, account areas, customer data, AI chat, file workflows, admin tools and CMS-driven content without splitting the experience across separate frontends.
For AI products, we pair the interface work with the orchestration work. AI Elements gives us a strong starting point for chat, tools, sources, reasoning states, attachments and workflow interfaces. Workflow SDK is where the longer-running parts belong: agent runs, human approval steps, retries, resumable streams, file processing, follow-ups and background jobs that need state and observability.
For portals, the shape is different but the standard is the same. Authentication, roles, permissions, dashboards, documents, payments, notifications and support workflows should sit in a clear product architecture. Best practice here means server-first data fetching, small client islands, typed validation, predictable mutations, careful cache boundaries and no hidden mess between the public site and the logged-in app.
The Vercel layer matters too. We tune runtime choices, caching, observability, firewall rules, deployment previews and AI Gateway usage so the app is fast, resilient and cost-aware. AI spend and Vercel spend are part of the architecture conversation from day one.

Wait, I’m sure it was only just in beta. Guess we’re production ready, baby.



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