[csense]

An AI agent is doing some actions. Those actions must comply with "controls" like 'ALLOW transfer ON treasury WHERE amount <= 10000 AND currency = "USDC"' and provide public, auditable proof that actions complied with the spec. The action log seems to be verifiable via ZK proofs.

What's the application here? If you want to enforce that an agent's blockchain transactions follow some deterministic conditions, why not just give it access to a command-line tool (MCP / skill / whatever) that enforces your conditions?

If you want auditing of the agent's blockchain actions to be public, why not just make all your agent's actions go through an ordinary smart contract?

I don't mean to kill your enthusiasm for programming or AI. But this project...I'm sorry, but this project just isn't good. It's an over-engineered, vibe-coded "solution" in search of a problem.

This project is about a month old. I highly doubt one person produced 134 kloc in that time. I'm pretty sure a lot of it is vendorized dependencies and AI-generated code that's had minimal human review. Much of the documentation appears to be AI-generated as well.

[nobulexdev]

On "why not a CLI tool / smart contract,” for single-agent, single-system setups, you are completely right. Nobulex is for when a third party has to verify compliance independently across systems. But the current examples don't make that clear enough. On the code, yes, heavily AI-assisted. I designed the architecture, AI helped implement it. I am 15 and in school, no team. The project has been through many iterations over several months, not one month. On "solution in search of a problem,” maybe. What would you consider worth solving in this space?