AI Agents for Fund of Funds Ecosystem - The Abundance Circle

The Abundance Circle (TAC) is a catalytic, evergreen Fund of Funds bridging philanthropy and conscious capitalism. In 2025 we completed a design research sprint that mapped out a biomimicry-inspired vision for our ecosystem — one where AI agents act not as a central authority, but as a background intelligence layer that helps the ecosystem see itself, surface dormant value, and self-organize. That process produced four validated concepts, each tied to a distinct moment in the ecosystem's lifecycle: Activation — an agent that combines structured data (funding reports, KPIs, partnership maps) with unstructured input (founder reflections, community feedback) to surface blind spots, redundancies, and underserved areas across the portfolio Resonance — an agent that helps "zones of participation" self-organize around shared missions, recognizing when a new mission needs to be seeded and which stakeholders should be invited in Influence — an AI-powered interactive media format that lets busy entrepreneurs and investors ask, listen, and share in small moments, turning micro-interactions into ecosystem-wide insight Seeding — a dashboard that visualizes how resources (capital, knowledge, talent) move through the ecosystem and redirects value from winding-down projects toward new growth We now want to move from validated design concepts to real, working software. What you'll work on Build out one or more of these four agent concepts into functioning tools, starting with whichever is highest priority Design real data flows connecting to the sources these agents need: portfolio data, fund due-diligence records, community/stakeholder input Extend or integrate with tooling we've already built in-house (an Anthropic Claude–powered due diligence and portfolio construction agent) where the concepts overlap Translate abstract, principle-driven design specifications (schematics, prototypes, user flows) into working, testable software Build clean interfaces a small, non-technical investment team can use daily Ideal candidate Proven experience building AI agents / LLM-powered applications (Claude, GPT, or similar) — ideally with production examples you can show Strong full-stack skills: comfortable with HTML/JS/CSS and API integration; Python a plus Comfortable working from design research artifacts (prototypes, schematics, principles) rather than a conventional spec doc — this role involves interpreting intent as much as executing instructions Understanding of financial systems and workflows: fund structures, portfolio construction, due diligence Bonus: experience in impact investing, decentralized/non-hierarchical systems design, or ecosystem-building Logistics Part-time, roughly [X hrs/week — flexible, happy to discuss] 1–3 month initial engagement, with potential to extend based on fit Remote To apply Please share relevant examples of AI agents or LLM-powered tools you've built, along with a brief note on your experience with financial or investment workflows. Full design documentation will be shared with shortlisted candidates under NDA