Pre-Launch Phase

  • Resistor AI Testnet Deployment: Roll out the testnet to enable initial testing and development by early adopters.

  • Resistor AI Node Setup: Establish the foundational nodes that will support the blockchain infrastructure.

  • Decentralized ChatGPT Integration: Integrate a decentralized version of ChatGPT to demonstrate the platform's capability for handling complex AI tasks.

  • Developer API Release: Launch a comprehensive API suite, allowing developers to begin creating and testing their AI applications on the platform.

  • Faucet Creation: Implement a faucet to distribute test tokens, enabling developers to experiment with the network’s features without financial risk.

  • Block Explorer Launch: Introduce a block explorer to provide transparency and allow users to track transactions, blocks, and other network activities.

Stage 1: Foundation and Expansion

  • TOR Token Launch: Officially launch TOR, Resistor AI's native token, to serve as the main currency within the ecosystem.

  • Developer Program Introduction: Initiate a program aimed at attracting developers to build on the platform, offering resources and support to facilitate their projects.

  • Image Generation Feature: Release AI models specialized in generating images, catering to a wide range of applications from digital art to content creation.

  • Expansion of AI Models: Broaden the library of available AI models, covering various domains to enhance the platform’s versatility.

  • Onboarding AI Resource Providers: Begin partnering with entities capable of providing computational resources necessary for AI operations, ensuring a robust and scalable network.

Stage 2: Mainnet and Growth

  • Mainnet Launch: Transition from testnet to mainnet, marking the official live launch of the Resistor AI platform.

  • Bridge Implementation: Introduce a bridge for seamless token transfers between Resistor AI and other major blockchains, enhancing liquidity and interoperability.

  • Developer Program Bonus: Offer additional incentives and rewards within the Developer Program to encourage innovation and engagement.

  • Miner Integration: Enable miners to contribute to the network, securing the blockchain and processing transactions.

  • Support for Custom AI Models: Allow developers to upload and monetize their custom AI models on the platform.

  • Community Project Support: Begin funding and supporting selected projects that contribute to the ecosystem's growth and diversity.

Stage 3: Ecosystem Development

  • Referral Program Launch: Implement a referral program to drive adoption and expand the user base.

  • Compute Resource Providers: Further expand the network of compute resource providers, enhancing the platform's capacity for AI computations.

  • Developer Incentives: Introduce additional incentives for developers, rewarding contributions that drive significant value to the ecosystem.

  • AI Ecosystem Enhancement: Continue to develop and refine the AI ecosystem, ensuring a wide range of services and applications are available.

  • B2B Partnerships: Establish partnerships with businesses, integrating AI services into various industries and expanding the platform’s use cases.

Stage 4: Scaling and Open Source Initiative

  • Business API: Launch a dedicated API tailored for business clients, facilitating the integration of Resistor AI’s services into corporate environments.

  • Decentralized LLM Training: Offer capabilities for training Large Language Models (LLMs) in a decentralized manner, democratizing access to cutting-edge AI training techniques.

  • Open Source AI Development: Promote open-source contributions to the platform, encouraging community-driven development and collaboration.

  • Ecosystem Scaling: Focus on scaling the ecosystem, ensuring it can support a growing number of users and increasingly complex AI applications.

  • Resistor AI Proprietary Models: Develop and release proprietary AI models, showcasing the platform’s capabilities and offering unique solutions to complex problems.

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