Roadmap

[1] Phase 1: Initial Launch

• Core Feature Launch

  • Research Compass: Enables researchers to access trusted and curated sources.

  • Contextual Summaries: Provides clear, actionable summaries of complex studies.

• Community Building

  • Start a community campaign to attract early users.

  • Partner with key opinion leaders (KOLs) in the crypto space.

• Token Launch:

  • Launch the Hazle AI token on the Ethereum network.

  • Provide liquidity for decentralized exchange (DEX) to facilitate trading.

• Marketing Push:

  • Launch social media and content strategies to attract researchers and investors.

[2] Phase 2: Decentralized Expansion

• Enhanced Features:

  • Proof-of-Research: Introduce decentralized validation for research.

  • Dynamic Knowledge Graph: Visualize research connections to foster collaboration.

• Token Utility Development:

  • Enable staking for validators to support the Proof-of-Research process.

  • Introduce governance voting for $HAI holders on platform improvements.

• Ecosystem Partnerships:

  • Collaborate with academic institutions.

• Platform Scalability:

  • Enhance scalability and reduce transaction costs using Layer-2 solutions or alternative blockchains.

[3] Phase 3: Incentives and Monetization

• Token-Based Feature Launch:

  • Incentive Programs: Reward researchers, validators, and stakers with $HAI tokens.

• DAO Governance:

  • Fully activate Hazle AI DAO to enable community-driven decision-making.

  • Introduce proposals for roadmap updates and research funding.

• Global Adoption Push:

  • Host webinars and conferences to educate global researchers about Hazle AI.

  • Launch an ambassador program to promote Hazle AI adoption in academic and research communities.

[4] Phase 4: Open Access and AI Advancements

• Advanced Feature Launch:

  • Open Access Repository: Create a decentralized library of validated research.

  • AI-Based Peer Review: Enhance the review process with automated insights and validation.

• Ecosystem Sustainability:

  • Introduce revenue-sharing mechanisms for platform contributors.

  • Expand token use cases, including premium services and exclusive access.

• Mass Adoption Initiatives:

  • Integrate with traditional scholarly publishing systems to drive adoption.

  • Develop a mobile app for Hazle AI to make research tools easily accessible.

• Future Innovations:

  • Explore decentralized cloud computing or GPU hosting for research simulations.

  • Introduce AI-based predictive models for research trends.