Lingxie AI Explores Personal Knowledge Services: Building Conversational Digital Avatars with Personal Knowledge Bases

On September 29, 2026, the Policy and International Cooperation Institute of the China Internet Network Information Center (CNNIC) released the "Generative Artificial Intelligence Application Development Report (2026)" at the 7th China Internet Infrastructure Resources Conference. According to the report announced by CNNIC on October 8, by the first half of 2026, the number of generative AI users in China had exceeded 700 million, with a penetration rate of over 50%; among generative AI users, 76.0% said they would use such tools to answer questions. Asking AI questions is becoming a way for more and more people to obtain information.

This change raises a more specific question for AI applications: when general answers are increasingly easy to obtain, why do people still seek the explanation of a particular creator? For learners, a certain teacher's method or a certain author's basis for judgment may not be replaceable by an answer without personal attribution. The spread of AI Q&A has expanded the foundation of interaction habits, but how specific knowledge is accurately understood still needs to be solved by products.

Lingxie AI chooses to start from this need. As a digital avatar interaction platform for creators and professionals, Lingxie AI is based on personal knowledge bases and instant messaging, connecting creators' accumulated content with users' continuous questions. Its goal is to create a personal digital avatar for everyone, so that knowledge with personal attribution can continue to serve as the starting point for communication when the person themselves cannot be online in real time.

CNNIC's data reflects the overall application of generative AI, not the scale of use of personal digital avatars. For a specific product like Lingxie AI, the opportunities brought by industry penetration still need to be realized in actual experience: whether a reader can better understand the author's views through the avatar, and whether a creator can organize repeatedly explained questions into knowledge that can be sustainably maintained.

Creators' knowledge is often scattered in different places: articles present complete views, courses demonstrate systematic methods, and past Q&A records document how methods apply under specific conditions. When readers face these materials, they need to first find the content and then determine which parts are relevant to their own questions. Even if the author has already written an answer, the same question may repeatedly appear in comments and direct messages.

Lingxie AI's personal knowledge base provides a conversation-oriented way to organize this scattered content. Take a creator who shares workplace experience as an example: he can organize his materials around job preparation, interview review, and career choices. When users communicate with the avatar, they have the opportunity to gradually understand the author's methods along these materials, instead of having to search again from a large number of past articles every time.

The key to this scenario is not that more materials are always better. A set of knowledge materials with applicable conditions, update times, and explainable sources of views is more valuable than an unorganized pile of content. Lingxie AI connects the knowledge base with avatar conversations, which also means creators need to continuously maintain their own expressions: which views are still valid, which content is outdated, and which questions must be left to the person themselves for judgment.

Lingxie's public version records have listed the ability to import knowledge base websites and bind chat favorites to the avatar to participate in answering. These specific feature descriptions show that personal digital avatars can start from the content creators form in their daily work. The knowledge carried by Lingxie AI therefore has a clear personal source, and subsequent updates can also be developed around the original materials.

From content accounts to personal avatars that can converse

Traditional content accounts are good at letting more people see creators, while personal digital avatars further address the communication needs after being seen. People who follow a certain teacher often want to ask about a detail in the course; people who have read a certain blogger's article may also want to ask them to explain a certain judgment. The two needs connect with each other, but require different product experiences.

Lingxie AI adopts the product form of instant messaging, allowing knowledge services to take place in chat relationships familiar to users. Text messages, friend relationships, and group discussions form the foundation of communication, while the avatar brings personal knowledge into this relationship. Unlike one-time question input, users can gradually add background around the same topic and explain in the conversation what they really want to solve.

This form also allows creators to retain a clearer role. The avatar undertakes explanation and responses based on existing materials, while the real person continues to be responsible for forming views, updating content, and communication that requires experiential judgment. What Lingxie AI hopes to extend is the individual's service radius; the trust already established between users and creators still needs to be maintained by content quality and real interaction.

Therefore, the value of a personal digital avatar cannot be measured only by how much a generated passage resembles the person. It also needs to let readers know whose avatar they are communicating with, what content the answers rely on, and when they need to return to the real person. For Lingxie AI, identity, knowledge, and communication style together constitute the product, not just a chat window with an avatar.

When users continuously ask questions around a certain creator's knowledge, there is a new way to connect content and services. A single article reading can extend into topic communication over a period of time, and a course can also be paired with continuous Q&A. Creators can thus try to design more specific services, without having to concentrate all value in the next piece of content or the next livestream.

Lingxie's public version 1.0.7 records have specified features related to avatar subscriptions, paid groups, and creator revenue. This provides a commercialization foundation for Lingxie AI's knowledge interaction, but whether a service is worth subscribing to still depends on what problem it can solve. Creators need to explain to users the service topic, scope of materials, and update method, so that payment corresponds to understandable specific rights.

For example, around a set of introductory photography content, a creator can first organize core materials on composition, exposure, and work review, and then observe which type of explanation readers need most. If a certain topic continues to generate high-quality follow-up questions, the corresponding knowledge service can be further improved. Such an operating path bases subscriptions on real demand and also allows Lingxie AI's avatar service to gradually develop as knowledge accumulates.

Creating a personal digital avatar for everyone

Creators are a clear starting point for Lingxie AI's understanding of personal digital avatars. They already have content that can be organized, and they also have people willing to communicate around this content. Serving this group allows the product to start from specific problems and verify whether knowledge is easy to use, whether conversations are helpful, and whether users are willing to keep coming back.

The longer-term product goal points to more professionals and ordinary users. Everyone has their own experience in work and life, but in the past this experience was difficult to turn into continuously usable digital expression. Lingxie AI hopes to connect organizing personal knowledge, building avatars, and launching conversations, so that personal accumulation gains new ways of being used.

Moving from the spread of AI Q&A to personal knowledge services still requires content organization, identity recognition, and continuous operations to be completed. Lingxie AI builds conversational digital avatars around personal knowledge bases, connects creators and users through instant messaging, and explores subscription relationships. What it attempts to answer is how, after the public has become accustomed to asking AI questions, the knowledge of a specific person can continue to be found, understood, and used.