Case Study — Sports Prediction Platform · Sports Intelligence
An AI prediction engine that publishes itself.
AI Solutions · Automation Consulting · Software Development

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
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