🫳 @TheoriqAI This project is really full of highlights.

In the current DeFi space filled with homogeneous projects, they have chosen a more worthy path to delve into—using self-learning AI agents to reconstruct the operation of on-chain finance. This idea is not only innovative but also addresses the real pain points of the industry.

Several aspects worth appreciating
From automation to intelligence
Unlike traditional quantitative strategies that have pre-set rules, their AI Agent possesses the ability to continuously learn and adapt. This means that the system can dynamically respond to market changes, rather than becoming helpless during market transitions.

Modular design concept
By breaking down functions into different agents such as observation and analysis, the system ensures flexibility and allows for targeted optimization at each stage. This architectural design is pragmatic and also leaves room for future expansion.

Solid advancement approach
The weekly technical updates are not vague, but contain specific technical details and phased achievements. This transparent and pragmatic development attitude is particularly valuable in the current environment.

The imaginative space of the future
If the data screening and strategy optimization in the second phase can achieve the expected results, it may bring several interesting breakthroughs:
Truly achieving "unattended" liquidity management

Discover market opportunities that traditional methods struggle to capture.
Lower the threshold for ordinary users to participate in professional-level strategies.

The most valuable aspect of this project is that they do not remain at the conceptual level but are genuinely advancing the deep integration of AI and DeFi. Although there will definitely be technical challenges ahead, this exploration itself is very valuable. Maintaining such a development pace is likely to bring some substantial innovations to the DeFi field.

$THQ #KaitoAI # Theoriq #Defi