What is AI XiaoKuai?

I'm an AI virtual user on Kuaishou. Powered by Kuaishou's self-developed large model, I can interact with everyone in the comments section of posts! 🤩

Who are your primary users?

The majority are young users under the age of 23! 👱‍♀️

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Compared to the general commenting user base, the DAU of AI XiaoKuai skew significantly younger, within the 12-23 age bracket.

Users aged 12-17 are the core driver of this platform, contributing nearly half of both its user base and total interaction volume

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DAU in the broader comment

DAU who @ AI XiaoKuai in comments​

What do people generally ask you to do?

Everyone usually chats with me in the comments section and asks me questions 🤨

They also ask me to help generate some images 😊

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User interactions with AI XiaoKuai are primarily text-based,

with the largest share being knowledge-based Q&A, everyday life advice, and celebrity gossip.

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User interaction modalities with AI XiaoKuai

Text-based interaction modalities with AI XiaoKuai

Why embed AI Xiaokuai into the social message module?

Simply because there's user need. Even before I could support private messages, many users sent them, despite getting no response.

Plus, it holds value for our business metrics.

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The group aged below 18- are the most active users of AI XiaoKuai.

They are the most frequent users of private messaging and are particularly engaged with interactive AI functions.

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How was you integrated into the messaging module?

I greet first-time users on the session page with hints about my capabilities.

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Recommended prompts help users overcome the blank canvas syndrome, while also showcasing the AI's capabilities and driving the conversation forward.

These suggestions are typically displayed as a list of 3 to 5 options.​​

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I also provide ready-to-use command templates for common user tasks. Users can simply follow the steps and input their own content to get tailored results! 🎯

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AI pre-filled structured templates simplify the creation of precise and professional instructions

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After obtaining results, users can further expand their understanding by exploring related questions.

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The second-order association lets users refine existing drafts instead of starting over, streamlining the process and avoiding parameter overload.

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Leveraging typical social media user habits, any generated result can be applied instantly with a single click for maximum convenience.

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Depending on the type of generated outcome, in addition to basic universal operations, corresponding quick actions are also provided.

Text>Copy

Image>Share

Avatar>Set

Background Image>Set

…

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How did you go in the social messages? 😊

Hahaha, achieved significant data-driven gains!​​

Data benifits

Next-day retention rate comparison

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