
An AI-powered betting product that turns complex machine learning into a simple, transparent, and proven experience — showing users real results, not just predictions.
Dimers AI, also called Dimers Platinum, is an advanced betting product built around reinforcement learning to help users make smarter picks that actually win. The goal was to make a technical AI system feel trustworthy and simple by showing clear proof of success through data, not hype. The design focused on confidence, transparency, and ease, helping Dimers turn complex machine learning into an accessible, results-driven experience.
I led the product design from concept to launch, translating complex AI models into a simple, human-centered product experience. I defined the structure, layout, and tone of the site, balancing credibility with clarity while ensuring the design told a clear story of performance. My focus was on creating a premium, data-driven experience that inspired user trust and conversion.
Collaborated with a Product Manager, two Frontend Developers, a Data Scientist, and a Data Analyst to bring the product to life. Marketing and growth teams supported launch messaging and pricing, helping align the story across the entire product journey.
+21.37%
ROI
Dimers AI achieved a +21.37% return on investment based on verified pick performance.
65%
Strike Rate
A 65% strike rate across AI-recommended picks, backed by live, verifiable results.
88%
Renewal Rate
An 88% renewal rate season-over-season, alongside 100% user satisfaction and zero complaints.
The hardest part was explaining reinforcement learning without overwhelming users. I needed to make the technology sound credible but easy to grasp, focusing on real numbers and proof instead of buzzwords. The solution was a clean, data-first design that let the results speak for themselves.
We started by studying how users responded to betting data, then tested multiple layouts to find the clearest way to display proof of performance. I worked with developers to ensure data updates were seamless, and with analysts to refine the flow after launch based on engagement metrics.
Dimers AI aimed to turn powerful reinforcement learning into a simple, transparent product that bettors could trust. The goal was to show that AI picks can actually outperform manual decisions, using live data and verified results to prove credibility.
Dimers AI achieved a +21.37% ROI, 65% strike rate, 100% user satisfaction, and 88% renewal rate, with zero complaints and consistent season-over-season retention. Leadership highlighted it as one of Dimers' strongest product launches.
Teams praised how clearly the product communicated AI performance. Leadership highlighted it as one of Dimers' strongest product launches, and users described it as the first AI tool that actually showed proof behind its claims.
This project reinforced how much simplicity drives trust in complex products. In the future, I'd add more personalization and live model insights so users could see how the AI evolves and improves over time.