Sometimes looking at Theoriq feels less like observing a project and more like watching a slowly forming "on-chain automation experiment." It's not the kind of approach where you just create an interface, attach a strategy, and go live; it genuinely aims to cultivate the Agent as the main "operator." You just need to send a message to your wallet saying, "The market is fluctuating a lot right now, should we adjust the LP range?" It will pull data from Uniswap, analyze the volatility, calculate the current APR, review historical operations, and then ask you: "Should we narrow it down?" You confirm, and it immediately adjusts the position on-chain. The entire chain has a record, the operation can be traced, and even the reasoning path is preserved. In the past, AI was about "giving suggestions." Now it has transformed into "running strategies." The difference lies not in the model, but in the execution. @TheoriqAI is turning the concept of "AI + DeFi" from a performance into a system—Agents can observe, calculate, act, and can also be constrained and incentivized. You are not just using a tool; you are collaborating with the Agent to run a clearly defined, automatically executed on-chain system. This is what I find interesting about it.