In the prediction market, there are more and more AI tools, but most of them are doing the same thing, giving you more noise. There is a pile of data on the chain and emotions on Twitter. They say they want to catch everything, but they don't catch anything. Too many signals and poor filtering ability. The Alice AI white paper has been released, and I have carefully reviewed it. There are several design logics that I believe are the clearest among similar products currently. The core is its four layer cascade reasoning: capturing smart money → market alignment → evidence reasoning → alpha rating. This link not only provides you with more data, but also performs a more difficult task of conflict resolution. When the position direction of smart money on the chain does not match mainstream news evidence, Alice's AI will not forcefully give you a signal. It will choose to remain inactive and would rather miss the opportunity. The motivation for the vast majority of AI assistants is to make you interact, click, and execute, and pushing less seems to be of no value. Alice improves accuracy by reducing the number of sales, and multiple pieces of information are converted into executable signals with confidence ratings. There are many market forecasting tools, but most of them focus on helping you execute faster. Alice's goal is to increase your winning rate and better assist you in making decisions