Interesting Weekly No.152 (2025.10.27): How to Write AI Product Requirement Docs and How They Differ from Traditional PRDs
🗓 Interesting Weekly
> My way of using fragmented time to organize and record weekly reading & reflections — building a personal knowledge system and sharing with you.
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📌 Weekly Highlights
📰 Recommended Reading
- How to write AI product requirement documents vs. traditional PRDs
- [Finance Director Series 480] Sense of value in financial work
- AI-generated UI drafts with source files — Pixso
- Large-scale Kafka consumer cluster scheduling
- B-end brands reaching C-end audiences
- Agent design for Tmall industry back-office front-end R&D
- User personas — identifying price-sensitive users
- From manual to AI-driven: Tmall's full-process automated testing
- Build AI Agent in WeChat Mini Program & official account in 5 min (no-code)
- Why you shouldn’t over-empathize with kids
🔎 New Discoveries
- Brief News — AI-powered news aggregation
- Six AIs in a trading battle — crypto “Turing Test” showdown
- BestBlogs.dev — curated technical reading
🎯 Quotes & Insights
- Which type of users do you want to serve?
- New opportunities after aging?
- The future after self-media declines
- Elon Musk’s AI manifesto & the “robot army” from Tesla Q3 earnings
📚 Recent Reading
- Agentic Design Patterns — Chinese translation
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🛠 Deep Dive Articles
AI Product Requirement Documents
Links: Article | Case Study
- Compares traditional PRDs vs. AI/Agent PRDs.
- New PRDs include: model story, agent workflow, agent prompt design.
- Goals: reduce large-model uncertainty, increase value realization.
- Includes categorization of embedded AI scenarios & full template.
- Focus areas: prompt design, context building, evaluation testing.
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Finance Director Series 480 — Sense of Value in Financial Work
Link: Read here
- Explores relationship between role value, career growth, and income expectations.
- Value points: cost reduction, efficiency improvement, risk control, data-driven management.
- Finance = stable & sustainable career path with high long-term satisfaction.
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AI-Generated UI Drafts — Pixso
Link: Read here
Highlights:
- Editable source files
- Structured analysis & Chinese prompts recognition
- Dynamic interactions & partial modifications
- Boosts design efficiency & collaboration
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Kafka Consumer Cluster Scheduling
Link: Read here
Solution key points:
- Partition-level scheduling
- Multi-cluster proportional/weighted balancing
- Central computation + distributed pull with dynamic refresh
- Kubernetes HPA compatibility for real-time scaling
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B2B Brands Going C-End
Link: Read here
Core strategies:
- Identity anchoring
- Value translation
- Vision elevation
Case study: Qianli Technology — building trust, claiming C-end discourse, ecosystem vision via “Qianli Plan.”
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Agent Design for Tmall Frontend R&D
Link: Read here
Features:
- Vertical domain specialization
- Multi-agent collaboration
- Demand-centric architecture
- AI intervention at requirements stage
- GraphRAG knowledge graph integration
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User Profiling for Price Sensitivity
Link: Read here
Approach:
- Combine purchase behavior, browsing & interaction patterns, attributes, lifecycle, external data
- Build sensitivity profiles → enable differentiated marketing strategies
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AI-Driven Testing Transformation — Tmall
Link: Read here
Framework includes:
- Requirement parsing, test case generation, data construction, verification
- Process orchestration, scenario modeling, tool integration, intelligent validation
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Build No-Code AI Agent in Coze
Link: Read here
Steps:
- Define requirements & persona
- Configure response logic
- Add plugins (link-reading, summarization)
- Test & publish to WeChat Mini Program
- Bind to Official Account
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Parenting — Don’t Over-Empathize
Link: Read here
- Emotional vs. cognitive empathy
- Risks of over-empathy: poor emotional regulation, parental stress, relationship tension
- Solution: effective empathy with emotional thermometer stages
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🌐 Interesting Platforms
Brief News
Link: brief.news
- AI-driven clustering of news articles into multi-source briefs
- Personalized, objective summaries in email or web
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AI Trader Showdown
Link: nof1.ai
- Claude, GPT-5, Gemini, Deepseek, Grok & Tongyi Qianwen trading with real $10k
- Public tracking in Hyperliquid
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BestBlogs.dev
Link: bestblogs.dev
- AI selects top 400+ global tech articles worth reading
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💬 Insights
Which Users Do You Want to Serve?
High-end:
- Deliver value & strong results
- Build trust via high-profile endorsements
- Large ROI potential
Mid-tier:
- SOPs & process standardization
- Relationship maintenance via emotional value
- Moderate price, selective value creation
Mass-market:
- Emotional connection & excitement
- Efficient small-scale problem-solving
- Low-price “deal” perception
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After Aging — New Opportunities
Link: Read here
- Focus on emotional value
- Identify fuzzy needs
- Shift from traffic ops to “managing hearts”
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Decline of Self-Media
Link: Read here
- Transition self-media into support tool for core business
- Three-step strategy: productize skills, channelize content, solidify business
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Elon Musk’s AI Manifesto
Link: Read here
- Tesla pillars: FSD, AI5 chip, Optimus
- Synergy towards sustainable prosperity
- Energy storage as strategic AI ecosystem component
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Agentic Design Patterns — Chinese Translation
Link: GitHub
- Bilingual translation of Antonio Gulli’s hands-on guide for intelligent systems
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