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.