ZhenFund’s official website launches the “Ask AI” feature, using a bilingual Markdown file to connect multiple models
BIBIBI
AT A GLANCE
ZhenFund was reported to have launched “Ask AI”, using a bilingual Markdown file to connect four AI platforms to answer entrepreneurs’ questions.
Article
ZhenFund goes live Ask AI, but there is only one Markdown file
According to Beating AI News, ZhenFund has launched “Ask AI” on its official website. Entrepreneurs can directly ask which teams ZhenFund has invested in, which areas it has recently been following, and which activities may be suitable for them.
The implementation is quite simple. ZhenFund has compiled publicly available information on its investment teams, portfolio companies, areas of interest, entrepreneurship activities, and contact details into a bilingual Chinese-English `zhenfund.md` file. Clicking any AI entry redirects the website to one of four platforms—Kimi, ChatGPT, Claude, or DeepSeek—with a prompt prefilled, instructing the model to read the file first and then answer the entrepreneur’s questions.
Original link https://m.theblockbeats.info/flash/373351
Key points
01
Beating AI News reported that ZhenFund launched “Ask AI」。
02
According to the report, entrepreneurs can ask which teams ZhenFund has invested in, which areas it has recently been following, and which activities may be suitable for them.
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ZhenFund compiled publicly available information on its investment teams, portfolio companies, areas of interest, entrepreneurship activities, and contact details into a bilingual Chinese-English `zhenfund.md` file.
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Clicking the AI entry redirects the website to Kimi, ChatGPT, Claude, or DeepSeek, with a prompt prefilled.
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The prefilled prompt instructs the model to read the file first and then answer the entrepreneur’s questions.
AI-assisted interpretation
The following is analysis, separate from reported facts. Verify important claims independently.
This feature does not describe a new model separately on the official website; instead, it consolidates public materials into a Markdown file and directs users to existing AI platforms, which read the file and answer questions.
Why it matters to readers
This case demonstrates a relatively simple approach to institutional information Q&A: organizing existing public materials, pre-filling prompts, and using multiple AI platforms to provide query access.
Entrepreneurs can use it to query the investment teams, areas of interest, and activity information disclosed by ZhenFund, but answers should still be checked against the original public materials.
Risks and unknowns
The materials do not include an official announcement from ZhenFund, so the feature’s launch status cannot be independently confirmed.
The update frequency of `zhenfund.md` was not specified.
No data was provided on the AI accuracy of responses, feature availability, or user experience.
It cannot be confirmed which specific activities are suitable for particular entrepreneurs.
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Related concepts
Markdown
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