Prepare to update a Sapien every day, after all, the first 10,000 can get almost everything that everyone else can get. Let's see how much I'll get in the end.

A baker and a data library

Cookie is a clever baker who makes various flavors of cookies every day. To better match the flavors to customer preferences, she needs to know what people have been liking recently, what they are paying attention to, where they come from, and which flavors they eat the most... but this information is scattered around the world, and data collection is both difficult and expensive.

At this moment, she encountered Sapien—a decentralized data library.

How to collaborate?

1. Cookie raised a request: "I need a batch of data about user preferences, the fresher the better, preferably contributed by users themselves, and it should also be traceable to the source."
2. Sapien provides capabilities: "I have first-party data authorized by users, and the source is recorded through an on-chain system, each piece of data has a traceable 'origin', and I can also gain user permissions and incentive rewards."
3. Cookies use this data to "train her AI baking assistant", for example:
Which flavor combinations are more popular?
• Which groups of people enjoy a sweet but not overly rich taste?
What are the differences in taste preferences between different countries?
•What time period sees the most orders?
4. After the training is complete, Cookie's "Baking Assistant AI" becomes smarter, able to recommend cookies based on user profiles, and can also personalize customization.

What is the effect?

•Cookie improves efficiency and hit rate: she doesn't have to guess user preferences blindly, but relies on real data.
•Sapien plays a platform role: providing trustworthy, authorized, and transparent data, not a black box.
• Users also receive incentives: their data is used to improve product experience and they can also earn data rewards.

@cookiedotfun @JoinSapien #SNAPS