Tari.ai
AI-Driven DCA: Bridging real-time financial insights and on-chain execution for automated, smarter investing.
Created on 12th April 2025
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Tari.ai
AI-Driven DCA: Bridging real-time financial insights and on-chain execution for automated, smarter investing.
The problem Tari.ai solves
Using this platform, anyone can upload financial documents (like market reports or news), have them automatically analyzed for sentiment, and then watch as a multi-agent AI (via RL Swarm) translates that insight directly into a Rootstock smart contract action. This setup removes guesswork from DCA investing, ensuring each investment decision is shaped by up-to-date market context. By integrating AI-driven sentiment analysis and decentralized finance, it simplifies portfolio management and potentially reduces risk for long-term investors.
Challenges I ran into
A major hurdle was running advanced AI inference on a limited local environment. Instead of training large models on-site (which is resource-intensive and time-consuming), I leveraged OpenAI’s API to simulate multi-agent collaborative reasoning for RL Swarm. Another challenge was connecting all the moving parts—Upstage for document parsing, the RL Swarm logic, and the Rootstock contract—while keeping the user experience straightforward. Ultimately, modular code design and thorough testing helped me iterate quickly and fix the quirks that surfaced.
Tracks Applied (5)
General Track
Bounty 3: Off-chain (swarm)
Gensyn
AI Agent on Saga
Saga ⛋
Best AI Dapp on Rootstock
RootStock
AGI Powered Application
Upstage
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