AI & ENBL Games

Enable Games utilizes AI to accomplish 3 major tasks

Idea Generation:

How does AI enable games? We utilize a combination of Generative AI based on multi-modality foundation models, where text-to-image and text-image-voice generation occurs to increase engagement. Motivating as much engagement per game and providing highly diversified game content per game is a vital offering.

To provide new in-game & out-of-game experiences, AI logic supersedes heuristic techniques to eliminate repetition. Building a generative bounding framework to provide an experience of maximum engagement in a series of progressive games that is different enough to engage players but not too different to disengage them is a fine line and one that Enable Games places serious emphasis on. Enable Games avoids how each game is "100% new" to allow continuity of a player's skill-set from one game to another.

Innovation:

Generative AI and proprietary foundation multi-models were created and used by Enable games to create platforms and characters. Use of RLHF( Reinforcement Learning Human Feedback) and foundation models are cutting edge tools which are an emphasis of Enable Games and used in specific and targeted situations but require resources to fine tune to create scale in general terms. Future incoming resources will cause speed and quality of development to leap-frog ahead to allow Enable Games to vet the optimal new creation from a pool of AI-created products. This is HUGE!

Revolutionizing our content box so players are fully engaged:

Pregame Activity: Active posting of targeted advertisements, engagement with communities and plenty of "eye candy" (e.g NFT offerings, on-boarding of any new environments or characters) creation via Generative AI take place during (and post game) pre-engagement, showing features and aspects of the game

During the game activity: Usage of multi modality, such as models using RLHF from custom engagement accurately curate the cohort levels and incentivisation. Difficulty levels are adjusted to maximize the fun-aspect of the game.

Post game activity: The incentive structure is to have players return. The use of algorithmic game theory, behavioral economics are actively employed to build a real world incentive structure where players are allowed multiple pay-out structures to choose from. A large focus is on a balanced approach of incentivisation where payoff allocations are in different flavors: to either provide the opportunity for few players to win relative to the population of players or allow an "Everyone is a Winner" mode where all players are paid in real-time. Active advertisements on new/upcoming products are posted to entice players to return

The Post game activity ties back to pre-game activity

Enable Games has built an ecosystem in a controlled academic way with the assurance that the engine of active multimodels creates the system of attractive, enticing and fully engaging products