江哥AI落地实战 (@9548721097) on Xiaohongshu (RED)
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江哥AI落地实战 is a creator on Xiaohongshu (RED) in the 5K–6K follower range, publishing for Technical leads and frontline implementers in growing enterprises responsible for engineering AI Agent deployment, based in China. Profile last checked 2026-07-18.
Observed facts (from the public profile):
| Field | Value |
|---|---|
| Platform | Xiaohongshu (RED) |
| Handle | @9548721097 |
| Followers | 5K–6K |
| Market | China |
| Audience function | automation and agents |
Profile bio
🎓 西电 × 早稻田双硕⼠ / AI 创业者 / FDE 🎯 专注成长型企业 AI Agent ⼯程化落地 📖 分享项⽬实战经验 / 落地⽅法论 / 创业心路 🤝 服务全国 / 企业 AI 项⽬合作:apexlj
What this creator posts about, and who reads it (AI-inferred)
Recurring topics: Enterprise AI Agent implementation methodology, RAG and enterprise knowledge base optimization, Ontology in intelligent Q&A, FDE practical skills and project experience, Practical use of tools like Claude Code, Codex, LangChain, AI transformation paths for traditional industries
Audience: Technical leads and frontline implementers in growing enterprises responsible for engineering AI Agent deployment
Provenance: inferred by AI from public content, not stated by the creator — confidence 0.75 · read from 42 recent posts · updated 57 days ago.
Audience read from this creator’s own recent posts, not from platform-declared categories. It is our reading, and it can be wrong.
Recent content samples (what the inference above was drawn from)
智能问数,真的只是把问题扔给大模型吗? #AI 话题 # #企业AI落地 话题 # #Agent 话题 # #智能问数 话题 # #本体 话题 # 智能问数不是: 用户提问 → 大模型写 SQL
claude code高手在用的技巧 #ClaudeCode 话题 # #AI 话题 # #AI技巧 话题 # #AI编程 话题 #
Where this creator sits among comparable accounts
Compared with the 588 accounts in the same group (xiaohongshu · nano · software):
| Dimension | Percentile in group |
|---|---|
| Overall | 86th |
| Authenticity | 50th |
| Audience value | 68th |
| Focus & activity | 79th |
This is a position, not a verdict. A percentile says where this account falls among comparable accounts on signals we can measure — it does not say this creator is a better fit for your campaign. We ran a blind benchmark and measured no reliable advantage in selection quality, and do not claim one.
See the Creator Index Report for how this index is structured.
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Machine-readable representations
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AI retrieval activity
What AI systems have actually done with this page. The two kinds are counted separately: being indexed is not the same as being used.
| Kind | Requests | What it means |
|---|---|---|
| Indexing crawlers | 6 | Bulk indexing · Amazonbot, ClaudeBot |
| User-triggered retrievals | 1 | Fetched while answering someone · last 2026-09-01 · ChatGPT-User |
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