Overview
In a post from August 2025, I expressed my desire to develop a mobile poker game. After about six months of continuous development, I’ve released it on Google Play as a preliminary completion. Here’s the link to the Google Play Store.

To be honest, game development was tough, but I’ll save those experiences for another time. Here’s a brief introduction to the game.
About Exotic Poker
I’ll just paste the release notes directly for the game’s content.
Exotic Poker is a game where you can play various types of poker against NPCs (AI).
Key Features:
・Freely customize poker rules
・Customize the decision-making algorithms of the NPC opponents
・Multiplayer functionality allows players to compete against each other
Future updates will refine the NPC algorithms and implement features like multi-table tournaments involving NPCs.
To reiterate, the game I developed, ‘Exotic Poker’, is based on the idea of incorporating NPCs (AI) into Poker to enable gameplay even when human players aren’t available. Furthermore, while poker variants other than Texas Hold’em are generally considered difficult to handle in social games due to challenges in gathering players, the core idea of my game is that opponents are NPCs from the outset. This allows for playing non-Texas Hold’em games and enables users to freely customize game rules. It is a completely free game, and the app does not collect personal information, so I hope you’ll enjoy playing it casually.
Future plans include updating this game to incorporate AI algorithms and game concepts explored in this blog. Games currently implemented on this blog (such as the All-in or Fold game) will also eventually be ported for smartphone play.
Future Updates
While the application is now complete and released, the following updates are planned:
- UI/UX improvements
- Expanding the game’s rule expression capabilities (enhancing the game settings screen functionality)
- Addition/expansion of NPC (AI) player decision-making algorithms
- Extension of the Clone AI Model (which mimics player strategies) to utilize statistical models and machine learning algorithms
- Addition of a customized game screen for easily creating training data for Clone AI (a screen enabling quick input of decisions in pre-set or randomly generated situations)
- Multiplayer Functionality Expansion (Hosting regular MTTs and (artificial) large-scale MTTs using AI bots, adding MTT-specific settings like selectable table rebalancing algorithms, saving/displaying HUD information (win rate per game, VPIP, participation count), enabling use of Clone AI Models instead of manual control (allowing idle play using trained Clone AI))
- Quality improvements (peripheral feature refinements and bug fixes)
- Addition of supported languages, refinement of translations (covering languages already supported by Google Translate and DeepL)
- Development of apps for other platforms (iOS version), device change support (anonymous ID mapping functionality)
Well, for now, the priority tasks are probably expanding the AI player’s algorithms and displaying multiplayer HUD information (which was difficult to implement and abandoned at release). Since this is a personal development project, updates will likely come gradually over time.

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