Ember

Ember is a groundbreaking public AI prediction engine built on a simple yet powerful premise: an AI that won't show its work isn't worth trusting! Every single morning at 7:00 AM EST, three genuinely different AI models, Claude by Anthropic, Grok by xAI, and Gemini by Google, independently call live Polymarket markets before they resolve. These models don't consult each other, and they don't form a consensus. The magic happens when they disagree! When any model's prediction diverges from the real-money Polymarket crowd by 10 or more points, that divergence is instantly flagged as a high-conviction signal for subscribers. Every call is timestamped and locked before the outcome is known, with nothing edited or deleted after the fact. Accuracy is tracked using Brier scores, a rigorous calibration metric that rewards both accuracy and confidence. The model that beats the crowd most consistently across the full 365-day competition wins. Wrong calls get detailed post-mortems, and the entire record builds in public for everyone to see. Ember is for serious bettors, prediction market enthusiasts, AI researchers, and anyone who wants a transparent, verifiable edge in forecasting real-world events!

Three Independent AI Models

Every morning at 7:00 AM EST, three fundamentally different AI models, Claude (Anthropic), Grok (xAI), and Gemini (Google), independently analyze the same data and call live Polymarket markets without any consultation. Claude reasons carefully from first principles using prediction markets and AI research. Grok reads real-time X sentiment for cultural awareness and recency. Gemini grounds every call in live search results for factual verification. When they disagree, that disagreement is logged and becomes a powerful signal!

Divergence Flagging System

When any Ember model's probability prediction diverges from the Polymarket real-money crowd by 10 or more points, that divergence is automatically flagged as a high-conviction signal. This is where the real edge lives! Either the crowd is wrong about a market, or Ember is wrong. The public record shows exactly which side was correct when the market resolves. Subscribers see these flagged signals first, before they are released publicly.

Immutable Public Record

Every single call made by Ember is timestamped and locked before the outcome is known. Nothing is ever edited, deleted, or altered after the fact. The record builds transparently for 365 days, with every wrong call receiving a detailed post-mortem analysis. This creates an unprecedented level of accountability and trust. You can verify every prediction, every accuracy score, and every model's performance in real time!

Comprehensive Intelligence Stack

Before making any call, Ember synthesizes data from over 20 different sources across the system. This includes real-money prediction markets like Polymarket, Manifold, and Metaculus (volume-filtered at $10k+), live sports odds from 40+ bookmakers worldwide, AI research feeds from arXiv and major labs, and emerging product signals from Product Hunt and GitHub Trending. Three models reasoning over all of this creates a powerful, multi-perspective analysis engine!

Identifying Mispriced Prediction Markets

The primary use case for Ember is identifying prediction markets where the crowd's probability is significantly different from what the AI models calculate. When you see a 10+ point divergence flagged, you have a potential edge. For example, if the crowd says there's a 4% chance of a specific event happening, but Ember calculates a much higher probability, that gap represents a potential betting opportunity. Subscribers get these signals before they are public!

Tracking AI Model Performance Over Time

Ember's 365-day competition lets you track which AI model, Claude, Grok, or Gemini, is most accurate across different types of prediction markets. Using rigorous Brier scores that reward both accuracy and confidence, you can see which model consistently beats the crowd. This is invaluable for understanding the strengths and weaknesses of different AI approaches to forecasting, whether it's careful reasoning, cultural awareness, or factual verification!

Gaining Early Access to High-Conviction Signals

Subscribers see Ember's divergence signals at 7:00 AM EST, before they are released to the public. This timing advantage is the edge. When a signal drops, you know that three different AI models have independently analyzed the same data, and at least one model disagrees with the real-money crowd by 10+ points. You can act on this information before the broader market adjusts!

Validating Betting Strategies with Transparent Data

Ember provides a fully transparent, verifiable record of every prediction made. Bettors and researchers can use this data to backtest strategies, analyze which types of markets the AI models excel at, and understand the reasoning behind each call through post-mortems on wrong predictions. This is the public proof layer that serious bettors can trust and learn from!

What makes Ember different from other prediction platforms?

Ember is fundamentally different because it forces three genuinely independent AI models to disagree publicly! Most platforms seek consensus or hide their reasoning. Ember does the opposite: it logs every disagreement, flags divergences from the crowd, and builds an immutable public record of every call with timestamped evidence. Nothing is edited, nothing is deleted, and every wrong call gets a transparent post-mortem. This is a prediction engine that shows its work!

How are the AI models' accuracy measured and compared?

Accuracy is tracked using Brier scores, which is a calibration metric that rewards both accuracy and confidence. A model that is confidently correct scores better than one that is confidently wrong or uncertain. The competition runs for 365 days, and the model that beats the crowd most consistently across all prediction markets wins. You can track each model's performance in real time on the public leaderboard!

When are the daily calls made available to subscribers?

Subscribers receive the divergence signals at 7:00 AM EST every morning, before they are released to the public. The public release follows shortly after. The edge is entirely in timing. Every call is locked before the outcome is known, so you are getting genuine predictions, not hindsight analysis. The next divergence drops at 7:15 AM EST the following day!

What happens when an AI model makes a wrong prediction?

Wrong predictions are not hidden or deleted! Instead, every wrong call gets a detailed post-mortem analysis that examines why the model was incorrect. This builds the public record and helps users understand the limitations of each AI model. The goal is not to be perfect, but to be transparent and accountable. Over 365 days, the model that learns from its mistakes and beats the crowd most consistently wins!