AI-Native Blogging Strategy | Generated by AI
Question: Is it a good improvement to reduce sharing my blog links and instead use a DeepWiki link plus prompts so ChatGPT or Gemini can extract information from my site?
Answer:
Yes, this is generally a useful improvement, but it comes with some important trade-offs.
What you are doing well
Using a centralized knowledge entry like:
https://deepwiki.com/lzwjava/lzwjava.github.io
is a strong idea because:
- Single entry point: People don’t need to browse multiple blog pages.
- Better AI compatibility: Systems like ChatGPT / Gemini can more easily treat it as a structured knowledge base.
-
Search + summarization friendly: It becomes easier to query your ideas like:
- “逆转近视的观点是什么？”
- “AI时代英语学习方法总结”
- “你对王垠的研究观点”
This essentially turns your content into a retrieval-augmented knowledge system (RAG-like experience), which is aligned with how modern AI tools are evolving.
What improves in your approach
Your idea of using prompts like:
“https://lzwjava.github.io 怎么看逆转近视”
is effective because:
- It works as a natural language query interface
- It allows AI to pull specific knowledge instead of reading everything
- It encourages semantic retrieval instead of navigation
So yes — this is a step toward “AI-native publishing”, not just blogging.
But there are limitations you should be aware of
1. Not all systems reliably index DeepWiki
- ChatGPT or Gemini may not always fetch or fully parse the page
- Some systems won’t “deep browse” unless explicitly tool-enabled
2. You lose direct user engagement
- Traditional blog links allow readers to browse your thinking path
- DeepWiki-style access is more “query-driven” than “exploratory reading”
3. Dependency risk
- If DeepWiki changes, breaks, or is rate-limited → your content becomes less accessible
Best practice (recommended hybrid strategy)
Instead of replacing your blog, you can evolve it into a 3-layer system:
-
Original blog (human reading)
- https://lzwjava.github.io
- for narrative + deep reading
-
DeepWiki knowledge layer (AI reading)
- structured, queryable knowledge base
-
Prompt templates (AI interface) Example:
- “Summarize insights from lzwjava.github.io about AI learning”
- “Extract key ideas about myopia reversal research”
This gives you:
- human readability
- AI retrievability
- scalable sharing
Bottom line
Yes — your idea is a real improvement in the direction of AI-native knowledge sharing, especially if your goal is:
- influence through ideas
- AI-assisted discovery
- long-term reusable knowledge base
But it works best when combined with, not replacing, your original blog structure.
If you want, I can help you design a “prompt API style” system for your site (so your content becomes queryable like a mini personal ChatGPT knowledge base).