Last updated a week ago
Cardano's advanced mathematical foundations & ecosystem complexity intimidate new developers, creating a perceived barrier to entry that's widely recognized within the broader blockchain community.
This is the total amount allocated to cDPT-1: An Open-Source Cardano Development AI Assistant. 3 out of 4 milestones are completed.
1/4
Project Setup and Infrastructure Development
Cost: ₳ 35,000
Delivery: Month 1 - Sep 2024
2/4
Knowledge Base Expansion and System Integration
Cost: ₳ 38,000
Delivery: Month 2 - Oct 2024
3/4
Security Enhancement and Validation
Cost: ₳ 25,000
Delivery: Month 3 - Nov 2024
4/4
Launch and Community Engagement
Cost: ₳ 29,059
Delivery: Month 4 - Dec 2024
NB: Monthly reporting was deprecated from January 2024 and replaced fully by the Milestones Program framework. Learn more here
Rahim Badsa - UI/UX Developer
We will develop an open-source AI Assistant to demystify Cardano’s complexities, providing developers with clear, accessible guidance and fostering innovation within the ecosystem.
Anthropic’s Claude v3
This AI model provides advanced natural language processing capabilities essential for understanding and responding to developer queries. We rely on this technology for the AI Assistant's core functionality.
AWS Lambda
This service is crucial for hosting and executing our backend services efficiently. It ensures that the AI Assistant can scale and handle multiple user requests simultaneously.
Node.js
The runtime environment is needed for executing the backend services and integrating various software components.
ReactJS
Used for building the front-end of the AI Assistant, ReactJS will allow us to create a highly interactive and responsive user interface. This is crucial for ensuring a seamless user experience.
Our project is committed to full transparency and community collaboration throughout its lifecycle. We have chosen to license all components of our project under the MIT License. This license was selected for its permissive nature that allows others to freely use, modify, and distribute the software even for commercial use, while still maintaining the original copyright.
Open Source Details
Repository: All project outputs, including source code for the AI assistant, its integration with backend services, and the front-end interface, will be available in our GitHub repository: https://github.com/realdecimalist/cDPT-1.
License Type: MIT License for all components, ensuring that developers can freely contribute to and use the project outputs without complex legal barriers.
Open Source Elements: The entire stack, including prompt engineering, AI integration logic, user interface components, reporting, knowledgebase contents and infrastructure configuration scripts, will be open-sourced. This ensures that the community can review, contribute to, and expand upon our work, fostering innovation and trust within the Cardano ecosystem.
By making our project fully open source, we aim to encourage community-driven development and innovation, ensuring that the Cardano Development AI Assistant evolves to meet the needs of its users and remains at the cutting edge of technology advancements.
How do you perceive the problem you are solving?
The Cardano ecosystem, while robust and feature-rich, presents a steep learning curve due to its unique foundations and complex development frameworks. This complexity can deter new developers from entering the ecosystem, thus slowing down innovation and community growth.
What are your reasons for approaching it in the way that you have?
To make Cardano development more accessible, we are developing an AI assistant that uses Anthropic’s Claude v3 for sophisticated natural language processing, enabling it to understand and respond to a wide range of developer inquiries. This AI assistant will be integrated with a dynamic knowledge base that includes the latest information on Cardano development tools, languages, SDKs, and APIs. This approach ensures that developers receive the most current and relevant assistance.
Who will your project engage?
How will you demonstrate or prove your impact?
We will measure the impact of our AI assistant through:
Explain what is unique about your solution, who will benefit, and why this is important to Cardano.
Our proposed solution directly addresses the intimidating complexity of the Cardano blockchain environment, which can act as a barrier to entry for new developers. This project leverages cutting-edge AI technology to create an accessible, intuitive tool that supports developers by providing real-time, context-aware assistance. This solution is important to Cardano because it not only solves a critical usability issue but also promotes broader adoption and development within the ecosystem, ultimately driving innovation and growth.
In what way will the success of your project bring value to the Cardano Community?
How will you measure this impact?
How will you share the outputs and opportunities that result from your project?
By providing a tool that not only facilitates easier access to development resources but also actively supports the community’s growth and learning, cDPT-1 will drive greater innovation and participation in the Cardano ecosystem. The success of this project will bring substantial value to the Cardano community by making it a more accessible, robust, and attractive platform for developers around the world.
Please describe your existing capabilities that demonstrate how and why you believe you’re best suited to deliver this project?
Our team, led by Nathaniel (decimalist) Minton, brings a wealth of expertise in GenAI, Machine Learning, and Natural Language Understanding technologies. Decimalist's notable achievements include the development of "Indigo Guru," a working AI Assistant for Indigo Protocol V2, which demonstrates his capability in deploying functional GenAI tools tailored to meet specific project needs. This assistant is actively available for testing at Indigo Protocol. Additionally, decimalist has extensive experience building, launching, tuning, and optimizing GenAI NLU applications for Concentrix, a Fortune 500 company that serves over 100 Fortune Global 500 clients. This background underscores his deep understanding of both the technical and practical aspects of AI-driven projects in high-stakes environments. Finally, decimalist is an AWS Certified Cloud Practitioner who spends the better part of every workday building inside AWS and therefore has an intimate understanding of the how to best utilize the tools and resources available there.
Additionally, Rahim Badsa, will serve as the UI/UX developer for this project, bringing a unique blend of passion, resilience, and technical proficiency. His technical skills span across front-end and back-end development, with extensive experience in JavaScript, SaturnNFT.io APIs, MeshJS, React.js, Next.js, Node.js, and more!
Validating Feasibility
Please include the steps or processes that demonstrate that you can be trusted to manage funds properly.
Transparent Budgeting: All funds received will be allocated according to a detailed budget plan. This budget plan includes earmarked amounts for each phase of the project, ensuring every Lovelace is spent judiciously.
Regular Reporting: We will provide regular financial reports and progress updates to the Cardano Community. These reports will detail expenditures, progress towards milestones, and any adjustments to the project plan.
Escrow Management: With Project Catalyst, funds will be held, with releases tied to the achievement of predefined milestones. This ensures that funds are only spent on achieving project goals.
Milestone 1: Project Setup and Infrastructure Development
A: Milestone Outputs
B: Acceptance Criteria
C: Evidence of Milestone Completion
Milestone 2: Knowledge Base Expansion and System Integration
A: Milestone Outputs
B: Acceptance Criteria
C: Evidence of Milestone Completion
Milestone 3: Security Enhancement and Validation
A: Milestone Outputs
B: Acceptance Criteria
C: Evidence of Milestone Completion
Final Milestone: Launch and Community Engagement
A: Milestone Outputs
B: Acceptance Criteria
C: Evidence of Milestone Completion
Nathaniel (decimalist) Minton - Project Lead & GenAI Application Developer
Decimalist oversees the project’s strategic direction and technical development, ensuring that the AI Assistant is tailored to meet the needs of the Cardano developer community effectively. His dual role as Project Lead and GenAI Application Developer allows him to integrate strategic oversight with hands-on technical development. He will be directly involved in the design, development, and optimization of the cDPT-1, utilizing his expertise in machine learning and natural language understanding to ensure the tool is efficient, scalable, and effective.
Rahim Badsa - UI/UX Developer
Rahim is responsible for designing the user interface and user experience of cDPT-1. His focus is on ensuring the platform is intuitive, accessible, and visually appealing. He will handle all aspects of front-end development, including UI design, UX workflow, and integration of the front-end with backend services.
Development & Integration: 35,326₳
Knowledge Base Compilation & Updates: 12,461₳
Infrastructure, Maintenance, & 18 Months Operational Costs: 63,583₳
Marketing & Community Engagement: 15,689₳
Total Budget: 127,059₳
The budget for the cDPT-1 is carefully structured to ensure cost-effectiveness while delivering a high-quality tool for the Cardano community.
Here is an explanation of the cost distribution and value justification:
Development Costs
The estimated budget aligns with the industry norms for developing advanced AI applications similar to ChatGPT. Development of an AI chatbot like ChatGPT typically ranges between $90,000 to $450,000, depending on the complexity and features included. Additionally, A US-based in-house AI engineer can cost $70,000–$200,000 annually. Our budget of 35,326₳ for development and integration is significantly lower, reflecting cost-efficiency without compromising on the technological sophistication required for the AI Assistant.
Infrastructure and Operational Costs
Maintaining robust infrastructure for AI applications, including data storage and management, is crucial for ensuring the assistant's reliability and responsiveness. These costs typically range from $5,000 to $15,000, varying with data size and infrastructure complexity. Our allocation of 63,583₳ for infrastructure and 18 months of operational costs is designed to provide sustainable support for the AI Assistant, ensuring it remains operational and effective for the Cardano developer community over an extended period.
Knowledge Base Compilation and Updates
Creating and maintaining an updated and comprehensive knowledge base is essential for the AI Assistant's effectiveness. This ensures that the assistant provides developers with the most current and relevant information, enhancing their productivity and facilitating easier navigation through Cardano’s complex development environment.
Marketing and Community Engagement
Investing in marketing and community engagement ensures that the AI Assistant reaches its intended audience and is adopted by developers. These activities are crucial for gathering feedback and continuously improving the tool based on user input and changing needs within the Cardano ecosystem.
Value for Money