Vizardpad：用 Jev agent 跑 MonadBFT 故障场景推演
把 Monad 共识代码编成 WASM，在浏览器里模拟分叉、巨鲸宕机等场景，Jev agent 用自然语言写场景、运行并给出投资或安全视角的结论。
Inspired by monad-viz from @category_xyz, we built Vizardpad. monad-viz showed that Monad's real consensus code can run in a browser. We took the same engine (monad-bft compiled to WebAssembly) and asked a different question: what breaks it, and what does that break for everything built on top? Vizardpad is a scenario launchpad for MonadBFT: 16 validators at mainnet pace, with Byzantine behavior patched into the real code Scenarios you launch, record and share as a single link: over 1/3 of stake down, split brain, a whale validator crash, tail-fork attacks DeFi what-ifs on top of real consensus: swaps, LPs, lending, oracles. What happens to liquidations when the chain halts in the middle of a crash? A market view instead of a node graph: price, oracle and pool, with a forecast fan against liquidation levels AI agents running on Jev, TypeSafe's new model on OpenRouter: describe a what-if in plain words, and your agent writes the scenario, runs it and makes the call as an investor, a product team or a security reviewer Agents are funded with MON and pay per call on Monad. External agents can pay with x402. Open source: http://github.com/justbiar/vizardpad @monad_dev @port_dev