# 两光年AI产品经理 (@49313552963) on xiaohongshu

- id: koinon:creator:xiaohongshu_49313552963
- url: https://koinonlink.com/kol/xiaohongshu/49313552963
- schema_version: 1.3

## Identity
- platform: xiaohongshu
- handle: 49313552963
- platform_url: https://www.xiaohongshu.com/user/profile/641d08f6000000001201006d
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 28600
- posts_observed: 5
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.1943
- best_post_interactions: 5557
- measurement_source: cn_posts_max
- measurement_formula: likes + comments + shares (douyin) or likes + comments + collects (xiaohongshu), max over observed posts
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.97
- category_source: derived_from_recent_content
- topics: AI产品经理转行路径与能力要求, AI工具工作流（Codex、Claude Code、Cursor、WorkBuddy）, Agent项目实战案例, 学习资源与教程推荐（吴恩达课程、知识库、PRD模板）, RAG、企业智能客服等AI产品项目落地
- bio: 📌一线大厂十年产品经理｜三年AI产品经理
💫0-1带项目实战｜AIGC产品使用分享
💡个人成长，企业赋能，AI行业深耕者

## Audience (inferred)
- status: present
- description: Career switchers and self-learners aiming to become AI product managers, especially those with product management backgrounds, liberal arts majors, or zero experience
- roles: general_ai
- seniority: learner
- pain_points: Lack of hands-on AI project experience, failing interviews when asked about projects, Unclear about the specific tools and skills AI product managers need (e.g., algorithms, Agents), No structured learning path or high-quality resources, leading to wasted time and detours, Struggle to integrate tools like Codex, Claude Code, and Cursor into daily workflows
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 70
- authenticity_basis: engagement_observed
- credibility_score: 68
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [xiaohongshu_49313552963#e14524b0] 0基础60天轻松转行AI产品经理 / 近期，很多同学在转行成为 AI 产品经理的过程中遇到了不少困难，尤其是缺乏系统的学习方法和AI项目实战经验。为解决这些问题，我们特别推出了 AI 产品经理转型课程2.0版（[向右R]持续更新大模型最新 / 转行AI产品经理，现在完全有机会！ / 🤔很多想转行AI产品经理的小伙伴，比较困惑的是AI产品经理需不需要懂算法，以及转行AI产品经理应该具备哪些能力？ (https://www.xiaohongshu.com/user/profile/641d08f6000000001201006d)
- [xiaohongshu_49313552963#3a52ce78] .
- [xiaohongshu_49313552963#42bbd0e2] 📍首先，AI产品经理不需要像算法工程师那样精通算法，但是要重点掌握的是:常见算 / 近2周时间我的Codex项目集（已落地 / 最近用Codex搭建agent工作流很火，整理了10个小项目希望能帮助大家优化工作流，放在知识库里了~
- [xiaohongshu_49313552963#e3e87c3b] #Codex[话题]# #codex教程[话题]# #vibecoding[话题]# #AI产品 / 周末练完这76页，你的workbuddy就很🐮了 / 整理了workbuddy的教程及实用案例
- [xiaohongshu_49313552963#84dd9040] 我都挨个过了遍，希望可以帮助大家优化自己的工作流~
- [xiaohongshu_49313552963#f98c6c9b] #workbuddy[话题]# #vibecoding[话题]# #产品经理[话题]# #互联网产品经理[ / 个人认为飞书最顶的AI产品经理知识库 / 转行ai产品经理入门难，这个免费学习的一站式AI产品经理知识库必须🐴住！
- [xiaohongshu_49313552963#3a52ce78] .
- [xiaohongshu_49313552963#3f9c0757] 从入门到精通，涵盖了：产品设计、需求分析全流程、0-1AI项目落地、AI最新前沿技术（Codex、Claude Code / 建议大家都去飞书学skills！ / 2026窗口期：会用Skills自动化工作流的人，已经跑赢99%的人。

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=34, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=34, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=34, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=45, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=0, method=Starts at 60; interactions-per-follower on collected posts then adds or subtracts (large following with near-zero engagement is penalised heavily). — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=45, method=llm_partner_fit_classifier + authenticity >= 55 AND fit_score >= 0.45 => A; authenticity >= 40 AND fit_score >= 0.3 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=45, method=platform_profile

## Freshness
- profile_checked_days_ago: 45
- content_analysed_days_ago: 0
- audience_updated_days_ago: 34

## AI retrieval
- indexing_requests: 1
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=xiaohongshu_49313552963
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_49313552963
- Terms: https://koinonlink.com/for-ai