The AI isn't just a research layer - it can control the wallet directly. Create wallets, switch networks, check balances, get swap quotes, and execute trades, all through natural language. High-risk actions like transfers and deletions require explicit user confirmation before executing. The goal is that someone who's never used a DEX can go from research to informed trade without needing to understand the underlying mechanics.
Two things on the roadmap I think matter most:
1) Fiat on/off-ramping. The biggest barrier for someone entering DeFi for the first time isn't understanding swaps - it's getting money into a wallet at all. And equally important, getting it back out. If this is going to serve people who aren't already crypto-native, the full journey from bank account to speculative position and back needs to be seamless.
2) Historical developer reputation. Right now the AI analyses a token at a point in time. I want to build a system that looks backwards - indexing past launches, tracking which developers shipped legitimate projects versus rugs, and building high-fidelity reputation profiles over time. When a new token launches, you'd immediately know whether the developer behind it has a track record worth trusting. Essentially a credit score for on-chain builders.
Everything runs in the browser. No accounts, no telemetry, no backend. Keys are AES-256 encrypted, decrypted on-demand, and wiped from memory after use. MIT licensed: https://github.com/Xipzer/Kybera_App
I'd really appreciate any feedback, especially on the developer reputation model - how to make it robust against Sybil attacks and identity fragmentation across chains.