GPTBETS AI

We are working to even the odds in the Sports Betting industry. Will you join us?

GPTBETS LLC Roadmap

Q1

  • Fine-tuning AI algorithms based on beta user feedback.

 

  • Enhancing the user flow for better accessibility and user experience.

 

  • Website and Socials

 

  • Web-app Development

Q2

  • Marketing strategy preparation for the premium launch.

 

  • collaboration testing using  Solana degen's and sports betting pros to stress test early MVP models for rapid development feedback.

 

  • 2023-2024 ended R&D on our early logic for sports live data sets after successfully testing with back up web-search feed before gpt3-gpt3.5 models had web search feature baked in. We did it with permissions to test early api connections to gpt with SERPapi using a custom algo for user digestion on our web-based app. (Now Depreciated)

Q3

  • Launched Web App to early subscribers and waitlist Aug 2nd.

 

  • GPTBETS AI Public Launch On August 16th.

 

  • Added Stats pages for all sports in sports hub.

 

  • Removed sport selector dropdown in AI and integrating the ability for multi-sports topic conversations without need to switch sports tabs manual or restart chat.

Q4

  • Update to Final Call Feature. Personal Calls and SMS from your AI assistant with alerts in real-time get hot tips betting insights and opportunities.

 

  • Mobile App Development: iOS and Android.

 

  • Expansion of educational resources and user guides.

 

  • Consumer protection partnerships with sportsbooks and affiliate program.

 

  • Advertising our consumers protection AI model for the sports betting industry in 2025-2026.

22-23

  *  Concept Creation

 Defining the AI betting assistant concept.

Initial research and feasibility studies.

Choosing the appropriate technologies and tools for development.

  Setting up development environments and infrastructure.

22-23

  Creating an initial prototype of the AI betting assistant.

  Demonstrating core functionalities for feedback.

Development of the first beta version with POE app. 

√ Integration of basic live data.

22-23

√ Core Feature Implementation.

√ Data analysis tools.

√Risk assessment algorithms.

√ Customized recommendation systems.

√ Designed workflow.

√ Real-time updates for users.

22-23

√ Bankroll management.

√ Educational resources for users.

√ Establishment of a subscription model.

√ Creation of a waitlist for premium version users.