Introducing Logos Layer. The guardrails for AI-driven trading. Institutional safeguards, formally verified with Aristotle by @HarmonicMath. AI agents can now trade real money in real brokerage accounts. But what actually stops an agent from violating a fund’s mandate? Today, the answer is usually prompting, another model checking the first, or a spending cap. Logos Layer takes a different approach. It turns a fund’s mandate into deterministic rules enforced before an order ever reaches the market. No position above 5%. No leverage. No shorts. Maintain a cash floor. And instead of trusting another AI to determine whether a trade “looks safe,” we formally proved the decision procedure itself in Lean, using Aristotle. which means that at trade time, there is no AI reviewing another AI. Pure deterministic arithmetic. Logos also analyzes whether the mandate itself can become impossible to satisfy, catching conflicting rules before you discover them with real money. The control layer between AI agents and real money. Logos is the optimal application of Aristotle's mathematical superiority to Robinhood's goals for institutional on-chain RWA trading. @vladtenev 's vision for Harmonic is about to fit seamlessly into his vision for Robinhood chain. 0x8c63b6adfb469bbd0cd5d6ee64f73407f15f4c6c

Introducing Logos Agentic Trading. Plug Claude, ChatGPT or any agent into a Logos vault and let it trade real tokenized stocks, settled from your own wallet. Every order it sends gets checked against your rules before it executes. Break one and it doesn't happen, and the agent is told exactly which rule stopped it. It gets tools. It never gets your key. logoslayer.com/deploy

Dynamic indices...

How the Logos marketplace works: Browse published rulebooks, see what’s most used, and inspect every rule directly from onchain data. Run any rulebook against your own portfolio in Review to see where its limits would kick in. Found one you like? Deploy it in a click. Built something better? Publish your own and earn whenever someone deploys or trades against it. logoslayer.com/marketplace

Logos Marketplace is live. Rulebooks for AI traders: pick one, deploy your vault in a click, and every trade your agent makes is checked against it before money moves. Every deploy and every trade pays a fee. Authors earn a share. The rest flows back to $LOGOS. logoslayer.com/marketplace

Soon.

> max return please

npx logos-layer

One of the most important transactions on @RobinhoodCrypto Chain this month cost about a cent and it failed. An AI tried to buy more Tesla than it was allowed to. The rules caught it, and the chain rejected the trade exactly as it was supposed to. On purpose. In public. Forever.

A simple way to think about Logos: You tell it the rules a fund has to follow. Logos turns those rules into math, proves the checker is correct, and puts that checker in front of the vault. So whenever an AI tries to make a trade, the order gets checked first. Pass the rules? It executes. Break one? It gets rejected, with the exact reason why. No AI sitting there deciding whether another AI made a good call. The rules are fixed, the checks are deterministic, and everything happens onchain.

We used Aristotle from @HarmonicMath to prove the checker behind Logos. 591 theorems later, we have something pretty simple: every trade is checked against its rules by the same checker, and that checker has been formally verified. The cool part is that you don’t have to trust Aristotle either. Every proof it produces is independently checked by Lean. For something sitting between an AI agent and real money, that matters a lot.

Read the whitepaper. logoslayer.com/whitepaper