The familiar feeling has returned, the current path of all AI projects in the cryptocurrency industry: Choose the public chain camp, announce financing, initiate the first round of experience, gain attention, initiate the second round of experience, search for airdrops or open another public offering, and ultimately issue coins. At present, Perle Labs has entered the first round of experience phase mentioned above. Last year, they completed the construction based on Solana and raised $17.5 million in funding led by North American institutions. In terms of segmentation, Perle is a bit like an AI training and incentive platform. It seeks people with professional knowledge to teach and train AI, and then records these contributions on the chain, allowing contributors to receive corresponding rewards. There have been many projects in this category before, but the more difficult part is how to identify who the true professionals and contributors are, so we have returned to the issue of token incentives. However, Perle Labs' token economics has not yet been launched, and the key is how to operate this incentive model.