1. Literature Review Automation

Prompt: “Act as a research collaborator specializing in [field]. Search the latest papers (past 12 months) on [topic], summarize key contributions, highlight methods, and identify where results conflict. Format output as: Paper | Year | Key Idea | Limitation | Open Question.”

Outputs structured meta-analysis with citations perfect for your review sections.

2. Comparative Model Analysis

Prompt: “Compare how [Model A] and [Model B] handle [task]. Include benchmark results, parameter size, inference speed, and unique training tricks from their papers or blog posts. Return in a comparison table.”

3. Market Sizing for Business Ideas

Prompt: “You’re an analyst at McKinsey. Estimate TAM, SAM, and SOM for [business idea]. Use real data sources (links included) and show reasoning step-by-step. Format as: Summary → Calculations → Citations.”

4. Competitive Landscape Scan

Prompt: “Find top 10 startups solving [problem] globally. Include founders, funding rounds, unique approach, and website. Return in a 2-column table: ‘Company / Edge.’”

5. Research-to-Startup Ideation

Prompt: “You’re a venture researcher. Based on the latest papers in [field], identify 3 potential startup ideas that could emerge from those discoveries. Include: core insight, possible product, and target user.”

6. Policy or Grant Writing Drafts

Prompt: “You’re a policy researcher drafting a grant proposal on [topic]. Create a 1-page summary with: ? Problem Statement ? Recent Evidence (cited) ? Intervention Logic ? Expected Impact ? References” Produces structured, funder-ready material from scratch.

7. Framework Synthesis

Prompt: “Synthesize all major frameworks on [concept] from business, psychology, and economics. Output a unified model in visual markdown (hierarchy or table format).”

8. Rapid Trend Analysis

Prompt: “Analyze global trends in [sector] since 2023. Highlight growth drivers, headwinds, key players, and future opportunities. Cite at least 3 verified data sources with links.” I use this weekly to map emerging spaces (AI infra, edtech, healthtech).

9. Thought Leadership Research

Prompt: “You’re my ghost researcher. I’m writing a LinkedIn/X post about [topic]. Find 5 recent stats, 3 contrarian takes, and 2 academic papers I can reference. Format clearly with citations.”

10. Deep-Dive Explainer Mode

Prompt: “Explain [complex concept] as if I’m a PhD who wants depth but no fluff. Use analogies, historical context, and citations from recent literature. Then, summarize in 5 bullet takeaways.”

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今天先到這兒，希望對AI，云原生，技術領導力， 企業管理，系統架構設計與評估，團隊管理, 項目管理, 產品管理，信息安全，團隊建設 有參考作用 , 您可能感興趣的文章:
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如有想了解更多軟件設計與架構, 系統IT,企業信息化, 團隊管理 資訊，請關注我的微信訂閱號：

作者：Petter Liu
出處：http://www.rzrgm.cn/wintersun/
本文版權歸作者和博客園共有，歡迎轉載，但未經作者同意必須保留此段聲明，且在文章頁面明顯位置給出原文連接，否則保留追究法律責任的權利。 該文章也同時發布在我的獨立博客中-Petter Liu Blog。