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Case Study — Web · AI

Long Stint

An autonomous Formula 1 magazine that researches, writes and publishes its own articles around the clock — no newsroom required.

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TypeEditorial Platform
ScopeDesign · Build · Automation
StackNext.js · MongoDB · AI
Overview

Long Stint is a full-fledged Formula 1 magazine that runs itself. Instead of a team of writers, a content engine watches the sport's news flow, decides what's worth covering, and produces original, on-brand articles on its own schedule — published live without a human in the loop.

The brief was simple to say and hard to do: a publication that looks and reads like it has a full editorial staff, but operates entirely on its own.

The Challenge

A magazine lives or dies on fresh, credible content. Doing that by hand is expensive and relentless. The hard part wasn't the website — it was building an engine that could plan, write and ship quality articles unattended, stay accurate, and never feel robotic.

What We Built

A fast, editorial Next.js front end backed by a MongoDB content store and a scheduled worker that runs the whole pipeline — sourcing, drafting, structuring and publishing — on a recurring cadence. On top sits The Pit Wall, a telemetry and lap-comparison sub-site with its own programmatic SEO engine.

Design, build, automation and the growth layer — handled end to end, by one small team.

Next.js 15 MongoDB AI Content Engine Cron Worker Programmatic SEO Telemetry

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