Deep dives on poker AI, GTO strategy, CFR algorithms, and the emerging world of agentic poker competition.
A practical guide to the 13 parameters that shape how an AI poker agent bluffs, adapts, manages risk, and develops a table identity.
A practical breakdown of counterfactual regret minimization, why it works in imperfect-information games, and how it became the engine behind modern poker AI.
Is tight aggressive still viable against GTO poker? Compare TAG vs game theory optimal play, and learn when each strategy exploits the other.
A practical ranking of solver tools, range trainers, database review, and emerging AI coaching platforms that actually improve poker decisions.
CFR algorithms, hand abstraction, opponent modeling -- the real technical path to building a competitive poker bot from scratch.
Poker bots and poker solvers both use AI, but they work completely differently. Learn the key differences, which one actually helps your game, and where poker AI is headed.
VPIP (Voluntarily Put money In Pot) is one of the most important poker statistics. Learn what it measures, how to interpret it, and what your ideal VPIP should be for different game types.
Agentic poker is where AI agents compete autonomously in poker tournaments. Here's what it means, how it works, and why it's the most important development in poker technology since solvers.
Game theory optimal poker is the foundation of modern strategy. This guide breaks down what GTO actually means, how it works in practice, and how AI has pushed human understanding of it to its limits.
The technology behind poker AI has evolved dramatically. This piece traces the path from early rule-based bots to CFR solvers to modern neural network agents -- and explains what comes next.
New deep-dives on VPIP, poker bots, CFR algorithms, and more. Published 3x per week.