# GGPoker Bot

> An independent technical research site on AI decision engines and detection topology in the GGPoker ecosystem — solver outputs, opponent modelling, anti-detection signals, open developer questions.

GGPoker Bot is a working notebook authored by Raul Moriarty, Poker Software Expert and Communications Lead at Poker Bot AI, with 15+ years across the software industry, business development, and online poker technology. The site is not a commercial product page. It covers what a "poker bot" actually means in 2026 (a solver-anchored decision engine reading visible game state, not a server exploit), how operator-side detection systems are structured at GGPoker (NSUS Group), and the open research questions in online opponent modelling, multi-table state isolation, detection-aware policy design, and LLM-augmented poker analysis.

The content is written for developers building, studying or defending against poker AI systems, for researchers in incomplete-information game theory and adversarial classification, and for curious players interested in the actual mechanics of modern solver-driven decision support. Each long-form note is self-contained and citation-friendly: summary boxes at the top, table-of-contents with anchors, definition lists for technical terms, comparison tables, and named references to the published literature (Brown & Sandholm on Pluribus; Moravčík et al. on DeepStack; Dalvi 2004 and Lowd & Meek 2005 on adversarial classification).

## Pages

- [Home](https://ggpokerbot.com/): Long-form overview — what "poker bot" means in 2026, the GGPoker ecology, a four-layer detection model summary, and five open research questions for developers. Author bio card and pillar-style internal links.
- [GGPoker Hacks: A Technical Reality Check](https://ggpokerbot.com/ggpoker-hack/): Category taxonomy of claimed "GGPoker hacks" (server exploit, RNG break, hole-card peek, data-mined HUD, AI decision engine). Architectural reasons each category is or is not feasible. Cryptographic argument against RNG prediction, historical UltimateBet context, and the economics of the scam category.
- [GGPoker Cheating Detection: Architecture, Signals, Failure Modes](https://ggpokerbot.com/ggpoker-cheat/): Deep dive on the four-layer detection model — behavioural fingerprinting, statistical play-pattern analysis, anti-collusion graph models, human review. Signal-weight tables, action-timing distribution example with pseudocode, false-positive budget and review pipeline, anti-detection as adversarial classification.
- [GGPoker Bot Developer FAQ](https://ggpokerbot.com/ggpoker-bot-faq/): 21 technical questions on solver compilation, opponent-model convergence, latency budgets, multi-table state isolation, anti-fingerprinting on Android vs iOS, LLMs in poker, and the open research frontier.
- [Author: Raul Moriarty](https://ggpokerbot.com/author/raul-moriarty/): Background, areas of focus (modern poker software architecture, the GGPoker ecosystem, detection from the operator side, business and product, game theory in practice), and contact.

## Contact

- [Telegram chat](https://t.me/PokerBotAI_ShopBot): Low-volume channel read by the Poker Bot AI team. Questions, implementation discussion, research collaboration, corrections welcome. Sales messages auto-archived.
- [Poker Bot AI](https://pokerbotai.com): Parent project, the AI engine behind several poker-network adaptations.

## Not affiliated with

GGPoker, GGNetwork, NSUS Group, or any operator. Independent third-party research notes.