Case Study — Sports Prediction Platform · Sports Intelligence

An AI prediction engine that publishes itself.

AI Solutions · Automation Consulting · Software Development

Football stadium under floodlights at night

Sports Prediction Platform — Sports Intelligence

The Challenge

The platform sells football predictions across multiple subscription tiers. Producing them manually meant hours of daily research, inconsistent publish times, and a ceiling on how many markets could be covered — with AI costs that could spiral if left unmetered.

What We Built

  • Built a Claude-powered prediction engine that researches fixtures, weighs form and market data, and writes tier-specific picks in the brand's voice.
  • Orchestrated the whole run on a scheduled n8n pipeline: generate, validate, store in Supabase, and publish to each subscription tier automatically.
  • Hard cost caps and validation gates on every AI run, so a bad day costs pennies — not the margin.

The Results

01

Predictions published daily across six subscription tiers, untouched by hand

02

AI spend capped per run with automatic cut-offs

03

Coverage expanded to markets that were never viable manually