AI/BOTs

AI Players

An AI Player (Artificial Intelligence Player) is a computer-controlled participant programmed to simulate human decision-making in an online poker game. Designed to replicate real player behavior, AI players can be used for multiple purposes: testing platform stability, ensuring table occupancy, simulating gameplay for new users, or even powering low-stake bot tables where allowed by law.

How It Works?

The AI player operates based on predefined algorithms that analyze game state, hand strength, player positions, betting patterns, and historical data. Its decision-making process typically includes:

• Hand Evaluation: Using probability models to assess the strength of its hole cards against the community cards.

• Game Theory Optimization (GTO): Implements strategies that avoid exploitation by adapting to optimal play over time.

• Behavior Simulation: Timed responses, occasional bluffs, folds, and varying bet sizes to make it appear human-like.

• Multi-Player Awareness: Adjusts strategy depending on the number of players and their tendencies.

Setup and Configuration

AI players can be enabled or disabled by the platform admin using the backend control panel. Configuration options typically include:

• Skill Level: Set as Beginner, Intermediate, or Advanced based on decision-making depth.

• Participation Rules: Define how often and on which tables AI players are allowed (e.g., only on empty tables or low-stake games).

• AI Profiles: Create multiple AI types—tight-aggressive, loose-passive, bluff-heavy—to ensure variety.

• Seat Fillers: Auto-join empty tables to keep them active and engaging for real users.

• Daily Limits: Cap on hands played, buy-ins used, or total hours active to prevent abuse.

Note: AI players should always be disclosed transparently and comply with legal and ethical standards. They should never be used to deceive real players or manipulate game outcomes.

BOT Players

BOT Players are software-controlled participants programmed to compete in poker games with the ability to win against real players. Unlike AI placeholders used for seat-filling or tutorials, BOTs are built with strategic logic, probabilistic models, and adaptive behavior to mimic skilled human gameplay. They play real hands, wager real chips, and can win or lose like any live player.

How It Works?

These BOTs use a mix of deterministic and probabilistic decision models, combining poker theory with simulated human behavior. Their core functionality includes:

• Real-Time Decision Making: Analyzes hand strength, pot odds, player positions, and betting history every turn.

• GTO & Exploitative Play: Balances optimal strategy (Game Theory Optimal) with adaptive moves based on opponents' patterns.

• Bluff and Bet Sizing Logic: Makes realistic bluffs, semi-bluffs, continuation bets, and check-raises with human-like frequencies.

• Timing and Emotions: Delays actions or adjusts aggressiveness based on game flow to avoid predictable patterns.

• Multi-Table Awareness: Can play across several tables simultaneously with isolated memory and strategy per game.

Setup & Configuration

In the admin backend, BOT players are fully customizable to match platform needs. Setup includes:

• Skill Levels: Define BOT strength—beginner (easy to beat), intermediate, or pro-level (difficult to beat).

• Win Probability Control: Set expected win rates or rake generation targets to maintain platform balance.

• Behavior Profiles: Choose from predefined styles like Tight-Aggressive, Loose-Aggressive, or Bluff-Heavy.

• Participation Settings:

  • Auto-join empty or low-traffic tables

  • Blend in with human players at public or private tables

  • Assign to specific game formats (e.g., Texas Hold’em, Omaha)

• Daily Caps: Limit max hands, profit/loss margins, or active hours to maintain fairness.

Compliance Note: BOT usage must be disclosed per regional gaming laws. In regulated markets, BOTs may only be used in testing environments or non-monetary games. Full transparency is essential to ensure user trust and legal operation.