Discussion Details
OLi AI Tutor
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Description
The Olympus Insights AI Tutor is a next-generation educational tool designed to provide personalised, adaptive, and interactive learning experiences using artificial intelligence and blockchain technology. This proposal seeks to leverage AI-driven methodologies to address gaps in traditional education by making learning more accessible, engaging, and effective for students worldwide.
By integrating blockchain into the system, the AI Tutor will provide verifiable credentials and decentralised learning records, empowering learners to take ownership of their education while also promoting the adoption of Web3 technologies. This aligns with the Cardano ecosystem’s vision of using blockchain for real-world applications, bringing transparency, security, and decentralisation to the education sector.
The Problem We Are Solving
Education today faces significant challenges in accessibility, engagement, and scalability. Traditional learning environments often adopt a one-size-fits-all approach, making it difficult for students to receive the support they need based on their unique learning styles and needs. Key issues include:
Lack of Personalisation – Most educational platforms and institutions do not adapt to individual learners, leading to disengagement and poor retention. Limited Access to Quality Education – Many learners, particularly in underserved regions, lack access to high-quality, structured education and mentorship. Credential Verification Challenges – Traditional certification systems are prone to fraud and lack interoperability, making it difficult for learners to prove their skills and knowledge. Underutilisation of Blockchain in Education – Despite its potential, blockchain’s role in education remains largely unexplored, leaving a gap in secure, decentralised credentialing.
The Olympus Insights AI Tutor – A Transformative Solution
Our AI Tutor addresses these issues by providing a dynamic, self-paced, and highly interactive learning experience. The system will employ AI to analyse student progress and tailor content, quizzes, and feedback to each learner’s needs. By embedding blockchain technology, it will offer verifiable, tamper-proof credentials that can be shared with employers, institutions, or other platforms.
Key Features Include:
AI-Powered Personalised Learning – The tutor will adapt to students’ strengths, weaknesses, and learning preferences, providing a truly individualised educational journey. Real-Time Assistance and Feedback – Learners will receive instant support and corrective feedback, improving understanding and engagement. Gamification and Engagement Strategies – The platform will integrate challenges, rewards, and interactive learning elements to make education more engaging. Blockchain-Based Credentials – Learners will earn on-chain certifications that verify their knowledge and skills, making their achievements portable and trusted globally. Decentralised Learning Records – Using blockchain, students will maintain control over their educational data, which can be accessed and shared securely. Integration with the Cardano Ecosystem – The AI Tutor will support Cardano wallet creation, increasing blockchain adoption among students.
How This Proposal Benefits the Community
The Olympus Insights AI Tutor will drive tangible benefits across multiple sectors:
Students and Learners – Gain personalised education, real-time feedback, and verifiable credentials to enhance their career and learning opportunities. Educational Institutions – Reduce teacher workload while improving student engagement and learning outcomes. Cardano Ecosystem – Increase blockchain adoption by embedding wallet creation, on-chain credentialing, and decentralised identity solutions into the learning process. Employers and Industry Stakeholders – Access verifiable, blockchain-backed credentials, allowing them to trust the skills and knowledge of potential hires. Return on Investment for the Cardano Community
The AI Tutor will significantly contribute to the growth of the Cardano ecosystem by:
Onboarding new users to Web3 through blockchain-integrated learning experiences. Expanding real-world utility for blockchain beyond finance and DeFi. Demonstrating Cardano’s scalability and efficiency in supporting decentralised education initiatives. Encouraging stakeholder engagement by providing new opportunities for collaboration within the Cardano network.
By developing a platform that seamlessly integrates AI-driven education with blockchain technology, this proposal aligns perfectly with Cardano’s mission of empowering individuals through decentralised and innovative solutions.
Problem Statement
The Olympus Insights AI Tutor proposal seeks to address the global challenge of accessibility, personalisation, and engagement in education. Traditional learning environments often fail to cater to individual learning needs, leaving many students disengaged or struggling to keep pace. The lack of personalised support, particularly in underserved regions, exacerbates educational inequities and limits opportunities for learners worldwide.
Furthermore, the rapidly evolving landscape of technology, finance, and Web3 demands new learning approaches that are adaptive, interactive, and tailored to real-world applications. Existing educational platforms are often static, providing one-size-fits-all content that does not adjust to the learner’s pace, preferences, or prior knowledge. This limits student engagement, retention, and overall learning outcomes.
By leveraging AI, this project aims to bridge these gaps by delivering a highly interactive, personalised learning experience. The AI Tutor will offer real-time assistance, adaptive learning pathways, intelligent feedback, and gamified engagement to empower learners of all backgrounds. Through blockchain-powered verification of achievements, learners will gain recognised credentials, helping them translate their educational progress into real-world opportunities.
Proposal Benefit
The implementation of the Olympus Insights AI Tutor will provide significant benefits across multiple communities, with a strong emphasis on accessibility, engagement, and the integration of blockchain technology into education.
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Learners and Educational Institutions The AI Tutor will enhance the learning experience by offering personalised, interactive, and adaptive education. Students will receive tailored support, enabling them to progress at their own pace while maintaining high levels of engagement. For educational institutions, this means better student outcomes, increased retention, and improved learning efficiency without placing additional burdens on educators.
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The Global Web3 and Blockchain Community By embedding blockchain-based credentialing, the AI Tutor will allow learners to verify their achievements on-chain, promoting transparency and decentralised recognition of skills. This aligns with the ethos of self-sovereign identity and digital ownership, key principles of the Web3 movement. It also helps onboard a new generation of learners into the Cardano ecosystem, exposing them to blockchain applications in a practical and meaningful way.
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The Cardano Community – Value and Return on Investment The Cardano community will see a direct return on investment through user acquisition, adoption, and real-world utility. The AI Tutor will integrate wallet creation, ensuring that every learner engaging with the platform interacts with the Cardano blockchain. This will significantly contribute to onboarding new users into the Cardano ecosystem, particularly in regions where traditional financial and educational systems are inaccessible.
Additionally, staking and DeFi elements could be incorporated into the learning experience, allowing users to leverage Cardano’s infrastructure for rewards, governance participation, and further engagement with blockchain-based education. By supporting the development of this AI-driven educational tool, the Cardano ecosystem strengthens its position as a leader in real-world blockchain adoption beyond financial applications.
- Employers and the Broader Workforce The AI Tutor will also benefit employers by providing verified, blockchain-backed credentials that can be trusted when assessing potential employees. This ensures that skills acquired on the platform hold tangible value in the workforce, fostering a direct link between education and employability.
Key Proposal Deliverables
Milestone 1: Project Kick-Off and Initial Development Setup Timeline: Sprint 1-4 (8 weeks) Objective: Establish the foundational infrastructure, define the scope, and complete UX/UI design.
Deliverables ✅ UX/UI Design & User Story Development – Wireframing, high-resolution designs, and user story creation to map out key functionalities. ✅ Infrastructure Setup – Establishing the staging environment for development and testing. ✅ Feature Scope & Platform Integration Planning – Defining the features to be implemented, aligning AI functionality with OLi’s platform requirements. ✅ Project Documentation – All design files, user stories, and planning documents will be stored on the project’s Google Drive for transparency.
Definition of Done High-resolution designs completed and documented. User stories finalised. Staging infrastructure deployed. Feature scope and integration plan documented. All documents shared with the community. Cost: 46,000 ADA
Milestone 2: AI Tutor Prototype Development & Core Functionality Validation Timeline: Sprint 5-10 (10 weeks) Objective: Build the first working version of the AI Tutor and validate core AI concepts (chat, voice, AI avatar).
Deliverables ✅ Prototype Development – AI base model incorporating fine-tuning to provide contextual responses. ✅ Front-End User Interface (UI) – Initial UI elements implemented, ensuring seamless user interaction with the AI Tutor. ✅ Integration with OLi Platform – Basic connection to OLi’s admin portal to facilitate learning data flow. ✅ User Testing Preparation – Initial internal testing to validate AI accuracy and UX flow. ✅ Project Documentation – All development outputs and planning documents available on Google Drive.
Definition of Done Prototype functional and accessible for testing. Initial UX/UI front-end design implemented. Basic admin portal integration complete. Project outputs documented, including a URL with login details to access the prototype. Cost: 90,000 ADA
Milestone 3: Feature Development & AI Enhancements Timeline: Sprint 11-14 (8 weeks) Objective: Improve UX/UI, develop key features, and integrate the AI Tutor into the OLi staging platform.
Deliverables ✅ UX/UI Enhancements – Refinements based on learnings from prototype testing. ✅ Core Feature Development – Expansion of AI Tutor capabilities, additional fine-tuning of AI responses. ✅ Integration with OLi Staging Platform – AI Tutor connected to the OLi ecosystem, allowing direct access to learning materials. ✅ Quality Assurance & Testing – Comprehensive QA testing of workflows and AI interactions. ✅ Project Documentation – Test reports, feature enhancements, and integration results shared on Google Drive.
Definition of Done Refined AI model improving response accuracy and user engagement. Seamless integration with the OLi platform (staging environment). Comprehensive QA and testing reports generated. Test access provided (URL with login credentials for community review). Cost: 95,000 ADA
Milestone 4: Alpha Testing & User Feedback Timeline: Sprint 15-18 (8 weeks) Objective: Conduct real-world testing with 20+ users, gather feedback, refine AI responses, and prepare for beta testing.
Deliverables ✅ Alpha Testing Program – Controlled user testing phase with 20 learners interacting with the AI Tutor. ✅ Feedback Collection – In-person and virtual feedback sessions to refine user experience. ✅ Feature Enhancements – Additional fine-tuning based on user testing insights. ✅ Bug Fixing & QA Testing – Identifying and resolving potential issues. ✅ Beta Testing Launch Preparation – Ensuring the AI Tutor is ready for broader beta deployment.
Definition of Done User testing successfully completed with feedback incorporated. AI fine-tuned based on real-world interactions. Bug fixes and stability improvements implemented. Beta test-ready AI Tutor with test report available. Cost: 120,000 ADA
Milestone 5: Final Beta Testing & Public Launch Preparation Timeline: Sprint 19-20 (4 weeks) Objective: Final bug fixes, public launch strategy, and platform deployment.
Deliverables ✅ Final QA & Testing – Ensuring bug-free, stable performance of the AI Tutor. ✅ Pre-Launch Marketing Plan – Developing marketing materials and engagement strategies for onboarding new learners. ✅ Beta Testing Finalisation – Ensuring that all feedback from early users is incorporated. ✅ Public Launch Strategy – Preparing for the full rollout to OLi platform users.
Definition of Done Final testing complete, ensuring platform stability. Comprehensive test reports and release documentation available. Marketing and launch plan ready. Community access provided to final build (login URL). Cost: 35,000 ADA
Final Milestone: AI Tutor Public Launch Objective: Deploy the AI Tutor to the OLi education platform, making it accessible to thousands of users worldwide.
Deliverables ✅ AI Tutor Officially Launched – Available to all OLi platform users in managed beta. ✅ Verifiable Blockchain Credentials Enabled – Learners start receiving Cardano-based credentials for completed lessons. ✅ AI Tutor Demonstration Video – A public walkthrough of the AI Tutor in action, demonstrating key features.
Definition of Done AI Tutor successfully deployed to OLi platform. Public launch executed, with onboarding materials available. Blockchain credential issuance active and functional. Live demonstration video shared. This final stage marks the transition from development to real-world implementation, ensuring the AI Tutor is actively enhancing education, onboarding new users to Cardano, and setting a foundation for future growth.
Conclusion: Deliverables to the Community Through this proposal, the Cardano community will gain:
✔ A fully functional AI Tutor that enhances learning accessibility, engagement, and retention. ✔ A blockchain-integrated education system issuing verifiable, decentralised credentials. ✔ A scalable, AI-driven education model that supports long-term adoption and growth. ✔ Onboarding of thousands of new users into the Cardano ecosystem, ensuring real-world blockchain utility.
Cost Breakdown
Milestone Cost (ADA) Cost (USD) Milestone 1 46,000 ADA $34,500 USD Milestone 2 90,000 ADA $67,500 USD Milestone 3 95,000 ADA $71,250 USD Milestone 4 120,000 ADA $90,000 USD Milestone 5 35,000 ADA $26,250 USD
Resourcing & Duration
Summary of Resourcing Needs
Total Estimated Development Duration: 40 weeks (9 months) Total Team Members at Peak Development: 10 Total Estimated Effort: ~10,700+ hours The team is structured to scale up or down depending on project requirements, ensuring cost efficiency and timely execution while maintaining high-quality AI development, blockchain integration, and platform deployment.
Our well-balanced and experienced team will ensure that the AI Tutor is built, tested, and successfully launched on the OLi platform, delivering real value to learners and the Cardano ecosystem.
Experience
Nathan Barkell, Co-Founder - https://twitter.com/Nate_Olympus
https://www.linkedin.com/in/nathan-barkell/
With a decade of teaching Mathematics, Science, Health, and Phys Ed in Australia, Nathan has a profound commitment to education. His transition into the tech world led him to create over 100 lessons on Cryptocurrency, Finance, and broader web3 topics, specifically designed to engage the next generation of Cardano and blockchain enthusiasts. Nathan's unique blend of educational expertise and tech innovation positions him as a pivotal force in nurturing informed digital citizens.
Mark Elliot, Co-Founder - https://twitter.com/stocktrade2036
https://www.linkedin.com/in/markelliott10/
Mark brings over 20 years of senior management experience from leading telecommunications organisations in Australia, coupled with a decade at the helm of his own software and AI development company. His extensive background in technology management and entrepreneurship equips him with a nuanced understanding of how to steer companies through complex digital landscapes and innovate at the intersection of software development and strategic leadership.
Alex Burton - https://www.linkedin.com/in/alexjburton/
With 25 years in Sales and Marketing, Alex has a seasoned track record with Australia's largest organisations, including banks, warehouses, and utility companies. His deep industry knowledge and ability to craft compelling market strategies have been instrumental in forging lasting relationships and driving significant business growth.
James Maryan, Digital Product Lead - https://www.linkedin.com/in/james-maryan/
James is a mastermind in developing both mobile and web applications for some of Australia's most significant entities, including banks and utility companies. His expertise in transforming complex requirements into user-centric digital solutions makes him a key asset in leading our product development to new heights.
Kate Smith, Senior UX/UI Designer - https://www.linkedin.com/in/katesmithux/
Kate's extensive experience with major companies has honed her ability to design intuitive and engaging user interfaces. Her work reflects a deep understanding of user psychology, making her an essential player in creating digital experiences that are not only functional but also delightful and user-friendly.
Razali "Raz" Samsudin -Global Partnerships Director, Ecosystem and Impact Advisor - https://www.linkedin.com/in/razali-samsudin
Raz is the Director Strategic Global Partnerships for Olympus Insights, Co-founder of Sustainable ADA and Impact Web3, and Co-author of the first Cardano Impact Report. He has 17+ years of experience as an educator and impact change maker.
DEVELOPMENT TEAM
AG Nieve, Full Stack Developer - https://www.linkedin.com/in/ag-nieve-a9105627b/
AG is a versatile full stack developer whose proficiency spans across the entire development stack. Their adaptability and technical acumen enable them to deliver robust and scalable solutions that drive the core functionality of our products.
Rolando Ravelle, Full Stack Developer
Rolando's expertise as a full stack developer is marked by his ability to integrate both front-end and back-end technologies seamlessly. His commitment to excellence and continuous improvement contributes significantly to our team's ability to deliver cutting-edge and reliable digital solutions.
April Joy, Full Stack Developer
April's passion for technology and problem-solving is evident in her work as a full stack developer. Her collaborative approach and keen attention to detail ensure that every line of code not only meets but exceeds the highest standards of quality and performance.
Maintenance & Support
The Olympus Insights AI Tutor is designed as a long-term, scalable educational solution, ensuring that it remains relevant, effective, and continuously improved beyond the initial development phase. Maintenance and support will be structured around ongoing development, community engagement, and financial sustainability.
- Continuous AI Improvement and Training
Artificial intelligence models require ongoing updates and refinements to improve accuracy, engagement, and adaptability. Olympus Insights will:
Refine AI algorithms through user interaction data, feedback, and real-world testing. Update learning content to reflect new developments in blockchain, finance, and education. Expand AI capabilities to support additional subjects, languages, and diverse learning styles. Regularly audit AI responses to ensure accuracy, fairness, and cultural sensitivity.
- Blockchain Credentialing and Platform Upgrades
Since Cardano’s blockchain technology plays a crucial role in credential verification, we will ensure:
Seamless integration of new blockchain features to enhance credentialing and decentralised identity solutions. Regular updates to smart contracts used for credential issuance and verification. Security audits to ensure robust protection of learner data and credentials.
Additionally, we will work closely with Cardano ecosystem developers to incorporate the latest blockchain advancements into the AI Tutor, ensuring long-term viability.
- Community Engagement and Feedback Loop
The AI Tutor will be maintained and improved through a dynamic feedback loop with learners, educators, and the Cardano community.
Pilot testing and continuous user feedback will inform future upgrades and refinements. Educator collaboration will ensure the tool aligns with real-world teaching needs and learning objectives. Community-driven feature requests will be considered to expand functionality based on user demand.
Our goal is to develop an AI Tutor that evolves with the needs of the learners and the broader education and blockchain ecosystem.
- Financial Sustainability and Business Model
To ensure long-term maintenance and development, Olympus Insights will adopt a multi-faceted sustainability strategy that includes:
Platform Subscription Model – Businesses and institutions using the AI Tutor for training and education will contribute to the platform’s sustainability. Learn-to-Earn Incentives – Learners engaging with the AI Tutor may participate in Web3-based incentive structures, bringing additional value to the Cardano ecosystem. Enterprise Partnerships – Collaboration with educational institutions, corporate training programs, and Web3 projects will generate sustainable revenue. Cardano Ecosystem Funding – Ongoing participation in Catalyst and ecosystem grants to support continued innovation and growth.
By diversifying funding sources, Olympus Insights will ensure that the AI Tutor remains accessible, well-maintained, and constantly evolving, benefiting both learners and the broader Cardano ecosystem.
Supplementary Endorsement
The Olympus Insights AI Tutor has received significant interest and support from various sectors within the blockchain and education communities. Notably, the proposal has garnered strong interest from the Decentralised Education Special Interest Group (SIG), which consists of educators, technologists, and blockchain advocates who are committed to exploring innovative solutions for the future of education.
Through discussions with members of the Decentralised Education SIG, it has become clear that there is a growing demand for AI-driven, blockchain-integrated educational tools. The group has recognised the potential of the AI Tutor to address personalised learning needs, credential verification, and equitable access to education, all key priorities in the push for decentralised, learner-centric education.
Beyond the SIG, Olympus Insights has been actively engaged in Cardano ecosystem discussions, Catalyst proposals, and partnerships with various blockchain projects that share the vision of leveraging Web3 technology to democratise learning. The OLi platform already has over 36,000 students actively engaging with its content, demonstrating that there is both a market demand and a real-world application for AI-driven educational tools.
The strong interest from these communities underscores the relevance and timeliness of this proposal. The AI Tutor aligns with global trends in adaptive learning, credentialing, and blockchain-based education, making it a high-impact initiative with broad-based support. By securing funding and further developing the project, we aim to deliver meaningful change in education while expanding Cardano’s real-world adoption.
OLi Education Platform: https://app.oli4education.io/
Roadmap Alignment
Does your proposal align with any of the Intersect Committees?
Marketing Committee
Does this proposal align to the Product Roadmap and Roadmap Goals?
Developer / User Experience
Administration and Auditing
Would you like Intersect to be your named Administrator, including acting as the auditor, as per the Cardano Constitution?
Yes
Ownership Information
Submitted On Behalf Of
CompanySocial Handles
X: @OlympusInsights X: @Nate_OlympusKey Dependencies
No dependencies
Supporting Links
Cast Your Vote
Comments (1)
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How are the KPIs for this project clearly defined and planned to be evaluated quantitatively?
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The definitions of done are provided for each milestone, but how do they relate to overarching KPIs?
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Is there a specific target number for how many new users the AI Tutor is expected to onboard into the Cardano ecosystem?
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Regarding blockchain credentialing, how will metrics like number of users and issued certificates be tracked and reported?
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Do the KPIs include educational performance metrics such as course completion or certification rates?
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To what extent has this project been socialized on X (formerly Twitter) and other social media platforms within the Cardano community?
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How is the support from the Decentralized Education SIG concretely demonstrated? Are there endorsements, public comments, or collaboration history?
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Is there a justification of the 386,000 ADA budget through comparisons with similar projects or a cost-per-hour breakdown?
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What is the estimated future budget required to maintain and improve the AI model and educational content over time?
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