DORA-AI (Chrome Extension)
Pay-per-insight AI for DAO governance
Created on 14th December 2025
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DORA-AI (Chrome Extension)
Pay-per-insight AI for DAO governance
The problem DORA-AI (Chrome Extension) solves
The Problem It Solves
DAO governance is becoming increasingly complex, but the tools available to delegates and voters have not kept up. Participants are expected to evaluate long, technical proposals, understand historical context, assess risks, and make informed decisions often under tight voting windows.
This leads to:
- rushed or heuristic voting
- over-reliance on social signals
- low participation quality
- overlooked governance risks
What This Project Enables
This project provides an AI-powered governance co-pilot that integrates directly into existing DAO voting interfaces (Snapshot, Uniswap Governance UI).
Users can:
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Instantly summarize proposals
-- Turn long governance texts into concise, structured summaries at the point of voting. -
Evaluate governance risk automatically
-- Detect missing safeguards such as escrow, timelocks, KPI verification, and treasury exposure. -
Reference historical precedent
-- Retrieve similar past proposals and outcomes to contextualize decisions. -
Make informed voting decisions faster
-- Receive an evidence-backed recommendation (YES / NO / ABSTAIN) with a confidence score.
All without leaving the governance interface.
Why x402 Micropayments Matter
AI-assisted governance analysis is computationally expensive, but charging subscriptions or gating access reduces participation.
This project uses x402 micropayments to solve that tradeoff.
- Each analysis is paid per request, not per user
- Users only pay when they actually request AI assistance
- No accounts, subscriptions, or centralized billing
Works seamlessly for browser extensions and autonomous agents
This enables:
- open access to governance intelligence
- sustainable AI services for DAOs
- agent-mediated decision support without trust assumptions
Challenges I ran into
- Implementing x402 mincropayment middleware at client side
- Running RAG on a non-paid, low-RAM deployment
Hosting RAG on a free-tier service required aggressive optimization. I switched to precomputed embeddings, limited document scope, and used lightweight TextRank summarization to keep memory and latency under control. - Injecting AI logic into an existing governance UI
This was my first time building a Chrome extension. Injecting scripts into third-party sites like Snapshot and Uniswap Governance required careful handling of execution contexts and wallet access, which I resolved by using content scripts + message passing instead of direct page access.
Technologies used
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