The Challenge

Prediction markets generate vast amounts of data but lack context. Users need to understand WHY probabilities are moving, not just that they moved. Manual editorial coverage couldn't scale to 200+ markets. We needed an automated system that could generate high-quality, factual briefs with real citations.

Our Approach

• Designed a multi-stage AI pipeline: data collection → context enrichment → brief generation → fact verification
• Integrated Google News RSS for real-time article sourcing with verified URLs
• Built a contrarian analysis module that generates counter-arguments to consensus views
• Implemented source verification to ensure every cited URL resolves correctly
• Created a typing animation UX that reveals briefs progressively for engagement

The Solution

The system runs during each market sync cycle (every 5 minutes), generating fresh briefs for markets with significant probability changes. Each brief includes a factual overview in bullet-point format, 3-5 real news articles with source favicons and timestamps, relevant quotes from key figures, and a contrarian take that challenges the consensus view. All sources are verified before publication.

Results

• 200+ market briefs generated and updated daily with zero manual intervention
• 99.1% source accuracy — every cited URL verified as accessible
• 4.8/5 user satisfaction rating for brief quality and relevance
• Average 2.5 minute read time — concise yet comprehensive
• Reduced editorial costs by 90% while increasing coverage 10x

Tech Stack