Project Description
Alfred by Atlantis is an open-source AI assistant designed to simplify the creation of impactful, measurable, and actionable bounties for climate and sustainability initiatives. By leveraging blockchain technology and AI, Alfred bridges the gap between funders, local implementers, and stakeholders, making last-mile funding more efficient, transparent, and verifiable.
Motivation and context
Every member of the Atlantis team has experienced firsthand the chaos that climate shocks bring—disrupting water, energy, food, and livelihoods. Addressing climate change is not merely a technical challenge but a coordination problem. From fragmented funding to manual bottlenecks, the system often fails those it aims to serve.
Our pilot in rural India revealed the power of decentralized solutions to improve clean water access, affordability, and financial resilience. Yet, barriers such as inefficient fund allocation, lack of transparency, and costly verification processes persist. Inspired by these challenges, we envisioned Impact Miner (Android, iOS), a platform to bridge global funding with local climate action using onchain bounties with tracked, verifiable, and impactful contributions. However, building decentralized capital allocation tools for last-mile funding is only part of the solution.
Problem and Solution
We discovered friction in the funder experience when designing bounties: articulating clear scopes, defining measurable success metrics, and aligning with local needs required immense manual effort. We have documented a summary of our findings here. This inspired us to build Alfred, an AI-powered assistant for crafting impactful bounties.
About the MVP
Alfred v0 transforms the traditionally manual process of designing bounties into an intuitive and efficient one. By embedding field-tested best practices, Alfred’s vision is to provide:
- Contextual guidance to create measurable, actionable bounties.
- Dynamic workflows powered by LangGraph for iteration and adaptability.
- A knowledge base enriched by real-world use cases, templates, and AI recommendations.
Through LangGraph, Alfred integrates seamlessly with LangChain to offer a multi-agent architecture that simplifies bounty creation into actionable steps—aligning with both funder goals and local community needs. You can read more about the architecture here.
With the open-source release of Alfred, we invite you to join this journey of decentralized innovation for climate action. Whether you’re a developer, researcher, or advocate, there’s a role for you in shaping Alfred into a global tool for scaling sustainability efforts.
Check out the GitHub repo to explore, test, and contribute to Alfred’s evolution. Together, let’s make last-mile climate funding efficient, transparent, and impactful.
Public Repository: GitHub - AtlantisDAO1/Alfred: Alfred is an AI agent designed to help humans accelerate climate action
Budget Breakdown
Milestone 1: [$15,000 | Months 0–3 | Develop foundational AI modules and initiate community-building efforts]
Expected Outcome: Deliver a functional platform with foundational AI capabilities, early community engagement, and operational readiness.
- Advanced AI Development ($10,000)
- Develop initial AI modules for structured project design and localized impact relevance.
- Implement granular agentic workflow with conversational memory and integration for human feedback.
- Seamless Platform Integrations ($2,000)
- Create basic API endpoints for third-party access.
- Community and Ecosystem Building ($2,000)
- Organize a virtual hackathon to onboard contributors and gather feedback.
- Develop an open-source contributor guide and reward program.
- Operational Sustainability ($1,000)
- Set up hosting and monitoring tools for platform stability.
Milestone 2: [$17,500 | Months 3–6 | Refine AI capabilities, scale integrations, and expand outreach]
Expected Outcome: Refine and expand platform capabilities, enable seamless integrations, and boost global outreach and adoption.
- Advanced AI Development ($10,000)
- Enhance AI models for cultural and geographical relevance using localized datasets.
- Scale multi-agent architecture for domain-specific insights into MRV (measurement, reporting, verification) and impact frameworks.
- Seamless Platform Integrations ($2,000)
- Expand API functionality to enable seamless integration with external capital allocation tools.
- Create templates for diverse use cases (e.g., environmental conservation, social impact).
- Scaling User Adoption and Accessibility ($2,500)
- Add 2–3 additional language translations based on demand.
- Begin development of offline functionality for limited-internet regions.
- Community and Ecosystem Building ($2,000)
- Host collaborative sprints to co-create new features with contributors.
- Establish partnerships with 2–3 global organizations for wider adoption.
- Operational Sustainability ($1,000)
- Monitor real-time usage analytics and optimize system performance.
Milestone 3: [$17,500 | Months 6–9 | Scale adoption, finalize advanced features, and build long-term sustainability]
Expected Outcome: Deliver a fully mature platform with global adoption, advanced features, and robust infrastructure to ensure sustainability.
- Advanced AI Development ($7,500)
- Improve efficiency of AI-driven workflows.
- Seamless Platform Integrations ($1,000)
- Finalize comprehensive API and documentation for third-party developers.
- Scaling User Adoption and Accessibility ($2,500)
- Complete offline functionality and test in low-internet regions.
- Launch a global outreach campaign targeting grassroots organizations and climate impact groups.
- Community and Ecosystem Building ($3,500)
- Organize an in-person hackathon or community summit to solidify contributor engagement.
- Operational Sustainability ($3,000)
- Invest in robust cloud infrastructure to handle increased usage.
- Build advanced monitoring tools for long-term system sustainability.
Funding Requested: $50,000
Plans should you fall below, reach or exceed funding goals:
- Falling Below Funding Goals:
If funding falls below the target, we will prioritize foundational milestones critical to achieving initial platform functionality. This includes basic AI module development, limited community-building activities, and essential integrations. - Reaching Funding Goals:
With full funding, we will execute the plan as outlined, ensuring that all milestones are delivered on time. This includes refining AI capabilities, scaling integrations, expanding community engagement, and building a robust infrastructure to support long-term sustainability. - Exceeding Funding Goals:
Exceeding the target will allow us to accelerate development and expand the project scope. Additional funds will be allocated to:- Enhancing AI models for broader use cases and greater localization.
- Scaling user adoption through multilingual support, offline functionality, and targeted outreach campaigns.
- Strengthening the ecosystem with more frequent hackathons, partnerships, and advanced developer resources.
Impact Measurement and Reporting
Short-term Outcomes (0-3 months):
- Foundational AI Development: Initial AI modules developed for project design and localized impact, with workflows supporting conversational memory and human feedback.
- Basic Platform Integrations: API endpoints created to enable third-party access and early ecosystem growth.
- Community Engagement: A virtual hackathon organized to onboard contributors, with an open-source guide and reward program launched to foster collaboration.
- Platform Stability: Hosting and monitoring tools deployed to ensure operational reliability during early use.
Mid-term Outcomes (3-6+ months):
- Enhanced Accessibility: Broader reach through additional language translations and offline functionality, making the platform usable in diverse contexts.
- Improved Integration: Higher adoption rates from expanded API functionality and tailored templates for specific climate and social impact use cases.
- Community Growth: Stronger engagement through collaborative sprints and partnerships with 2–3 global organizations for broader adoption.
- Optimized Performance: Better user experience with real-time system optimization and improved platform scalability.
Long-term Impact (5+ years):
- Empowered Local Communities: Enable grassroots organizations and green gig workers to drive impactful climate solutions with transparent funding and verifiable outcomes.
- Global Reach and Accessibility: Establish a widely adopted platform accessible across geographies, cultures, and internet connectivity levels, fostering inclusive climate action.
- Sustainable Climate Impact: Facilitate measurable progress on global climate goals through streamlined funding, efficient resource allocation, and scalable solutions.
- Decentralized Ecosystem Growth: Build a thriving ecosystem of contributors, funders, and implementers collaborating seamlessly via decentralized tools and AI-driven insights.
- Trust and Transparency in Funding: Set new standards for accountability and efficiency in climate financing, bridging gaps in trust and ensuring resources reach those who need them most.
Outcomes Measurement:
- Time to Define Bounties: Measure the duration from initiation to finalization of bounty details, aiming to reduce time through AI-driven workflows.
- User Engagement: Track the number of bounties created, user interactions, and platform activity levels to assess adoption and active participation.
- Clarity and Specificity: Analyze how well bounties articulate objectives, milestones, and success metrics through structured reviews and audits.
- Alignment with Local Needs: Evaluate the extent to which bounties address community-specific challenges using localized datasets and feedback loops.
- User Ratings: Collect satisfaction scores from funders and implementers to measure ease of use, functionality, and overall experience.
- Qualitative Feedback: Gather user testimonials, suggestions, and insights during workshops, collaborative sprints, and ongoing interactions.
For testing and validating Alfred v0, we designed this user feedback survey for funders evaluating the tool (inspired by Superhuman’s approach to finding a leading indicator for product-market fit). Once we migrate to a full-stack application, we will capture user analytics to complement the survey data.
Interim Reporting
Regular Updates:
- Quarterly
Milestone Verification:
To ensure milestones are achieved, we will implement the following verification methods:
- Deliverables Review: Verify the completion and functionality of key outputs such as AI modules, API integrations, and templates by conducting detailed reviews and testing against predefined specifications.
- User Testing Feedback: Collect feedback from pilot users on the usability and effectiveness of milestone deliverables, ensuring alignment with real-world needs and scenarios.
- Demonstrations and Walkthroughs: Conduct demonstrations to showcase completed functionalities, ensuring that they meet the expected objectives.
Sustainability Plan
The Atlantis team will take core responsibility for managing the development and growth of Alfred as an open-source public good. Our approach includes leveraging expertise across engineering, market expansion, and community building to ensure continuous improvement and scalability.
To sustain Alfred’s development and impact:
- Open-Source Commitment: We will actively manage contributions, organize hackathons, and incentivize the open-source community to co-develop features and enhancements.
- Diverse Funding Streams: We will expand funding avenues, including Gitcoin Grants, philanthropic contributions, and partnerships with global climate organizations.
- Freemium Model: At a mature stage, Alfred will explore a freemium model for commercial users, allowing nonprofits and grassroots organizations to continue using the platform for free while generating revenue from premium features for businesses and enterprises.
Case Studies and Testimonials
Gathering Feedback:
To collect feedback and testimonials, we will implement the following strategies:
- User Surveys: Conduct structured surveys to gather insights on usability, outcomes, and overall satisfaction. Here is our ongoing study for Alfred v0.
- Workshops and Interviews: Host feedback workshops and one-on-one interviews with stakeholders to understand their experiences and gather qualitative insights.
Showcasing Success:
We intend to focus on real-world scenarios demonstrating how Alfred addresses challenges and creates value for stakeholders. Please subscribe to Atlantis on Paragraph to catch our latest perspectives on this journey.
Advancing Values of Freedom and Privacy
Data Ownership: Users retain full ownership of their interactions; Alfred does not save responses or train models. Any future changes will be made with user consensus.
Open Source: Alfred’s open-source nature empowers users and contributors to adapt and improve the platform, promoting freedom, collaboration, and innovation.
Supporting Decentralization
- Alfred enables global contributors, funders, and implementers to collaborate without requiring centralized coordination, promoting inclusivity and diverse participation.
- By providing tools for communities to define and manage bounties autonomously, Alfred decentralizes decision-making and resource allocation, empowering grassroots actors.
- Alfred aims to integrate seamlessly with decentralized capital allocation tools, enhancing its utility across diverse ecosystems and use cases.
Team Information
Our founders, Nakul and Irthu, have known each other for over 20 years and have a proven track record of building together. They co-founded Hydrop and are now working on their second venture, Atlantis, in Bangalore. With over five years of experience collaborating, they bring strong chemistry and practical problem-solving abilities.
Irthu is a seasoned designer specializing in UI and UX. He ensures our platform is intuitive and user-friendly. He also leads our in-house engineering team, which has developed and scaled our technology stack, combining the MERN stack with blockchain solutions like Solana and Ethereum.
Nakul has a strong background in business development, compliance, and strategic partnerships. His experience driving deals and building relationships in local and international markets positions him well to lead our growth efforts.
Rohit Malekar, an experienced product architect, data engineer, and content writer, has been instrumental in building Alfred v0 MVP. Rohit combines his deep technical knowledge with his passion for digital public goods, ensuring the foundation of robust architecture and scalable user experience for Alfred. Learn more about his work at rohitmalekar.in/portfolio.
Social Proof
Here are our team’s contributions at the intersection of climate action and digital public goods:
Mobile-first multichain platform for local climate action: Impact Miner is a peer-to-peer platform developed by Atlantis that enables users to earn onchain rewards by participating in social and environmental initiatives. Users can engage in both physical and digital bounties, earning Impact Points and tokens on the Solana blockchain, which contribute to their impact ranking.
Android iOS
Decentralized Water Network in Rural India: Over 11 months, Atlantis developed a peer-to-peer water network that engaged over 3,800 individuals, providing consistent access to clean water and creating approximately 450 new jobs, with 30% occupied by women.
Crypto for Innovation, Pilot Endline Report
GreenPill Festival and Bountyverse Initiatives: Atlantis organized the GreenPill Festival to onboard contributors and gather feedback, and developed the Bountyverse, a sandbox environment to accelerate the development and implementation of emerging climate mitigation and adaptation solutions.
Crypto Altruism
Partnership with Shamba Network: Collaborating with Shamba Network, Atlantis supported pilot projects with farmers in rural India, focusing on sustainable agricultural practices and climate resilience.
Medium
Transparency
The funds we receive are converted to fiat currency through centralized exchanges (CEX). Once converted, the fiat is utilized primarily for:
-
Salaries: Ensuring fair and timely compensation for our employees who contribute to our initiatives.
-
Open Source Contributors: Supporting the most impactful open source contributions integral to the development of Alfred.
-
AI tooling: This will most likely involve paying for API usage for LLMs in the current stage of product development.
This approach ensures that all funding is directed toward sustaining our team and advancing our mission.
Other funding
- We have yet to receive funding from any sources to build Alfred. Alfred v0 was designed and deployed through the dedicated effort and time investment of core team members, working voluntarily after identifying the significant friction in deploying grants for local climate action.
- We intend to expand funding avenues, including Gitcoin Grants for OSS, philanthropic contributions, and partnerships with global climate organizations.