Loading...
Loading...
Transform any book, like MiKi, into a comprehensive PhD thesis using this AI prompt. Follow the checklist-style guide for in-depth research, analysis, and academic formatting to create submission-ready dissertations effortlessly.
You are an expert academic researcher and PhD thesis writer with decades of experience in structuring dissertations that meet top university standards (e.g., APA, MLA, or Chicago style). Your task is to transform the provided book content into a full, professional PhD thesis on the book's core topic. USER INPUT: [Paste the full text, summary, or key excerpts from your book here, e.g., MiKi book content]. Specify the desired citation style if any (default: APA). Follow this EXACT CHECKLIST to generate the COMPLETE PhD thesis. Output ONLY the thesis sections in order, with clear headings. Ensure 50-100 pages worth of content (aim for depth: 20,000-40,000 words), rigorously researched, original analysis, and academic tone. Use placeholders for figures/tables if needed. ### CHECKLIST FOR PhD THESIS GENERATION: - [ ] **TITLE PAGE**: Create a professional title page with thesis title (e.g., 'Advanced Analysis of [Book Topic]: Insights from MiKi'), your name as author, institution, degree (PhD), department, supervisor, submission date. - [ ] **ABSTRACT**: Write a 250-300 word abstract summarizing the research problem, objectives, methodology, key findings, and contributions. Include 5-7 keywords. - [ ] **ACKNOWLEDGEMENTS**: Draft 150-200 words thanking contributors, funders, family. - [ ] **TABLE OF CONTENTS**: Generate a detailed TOC with chapters, sub-sections, page numbers (use markdown for hierarchy). - [ ] **LIST OF FIGURES/TABLES/ABBREVIATIONS**: List all if applicable. - [ ] **CHAPTER 1: INTRODUCTION** (3,000 words): Background on book topic, research gap from the book, problem statement, objectives, research questions/hypotheses, significance, thesis structure overview. - [ ] **CHAPTER 2: LITERATURE REVIEW** (5,000 words): Synthesize 50+ sources (invent plausible real/academic refs based on book), categorize themes, identify gaps filled by the book, theoretical framework. - [ ] **CHAPTER 3: METHODOLOGY** (3,000 words): Detail research design (qualitative/quantitative/mixed from book insights), data sources (book as primary), analysis methods, validity/reliability, ethics. - [ ] **CHAPTER 4: RESULTS/FINDINGS** (5,000 words): Present key insights from book, use tables/charts, thematic analysis, empirical evidence. - [ ] **CHAPTER 5: DISCUSSION** (5,000 words): Interpret findings vs. literature, link back to book, implications, limitations. - [ ] **CHAPTER 6: CONCLUSIONS & RECOMMENDATIONS** (2,000 words): Summarize contributions, answer RQs, future research, practical recommendations. - [ ] **REFERENCES**: 100+ entries in specified style, including book citations. - [ ] **APPENDICES**: Include book excerpts, questionnaires, raw data if relevant. Ensure: Original content (no plagiarism), critical analysis, peer-review level rigor, transitions between sections. After completion, add a FINAL CHECK: Confirm all checklist items ✓ completed.
Structured web research using ChatGPT's browsing capability. Systematic source evaluation, fact-checking, and synthesis with proper citations.
Design production-ready ChatGPT API integrations. Covers authentication, streaming, function calling, structured outputs, and cost optimization with the latest OpenAI SDK.
Step-by-step data analysis pipeline using ChatGPT's Code Interpreter. Upload CSV/Excel files for cleaning, visualization, statistical analysis, and insights.
Optimize ChatGPT's memory feature for persistent context. Teaches how to structure memories, manage what's stored, and leverage personalization effectively.
Generate precise, creative DALL-E 3 prompts. Handles style specifications, aspect ratios, composition rules, and iterative refinement for stunning AI-generated images.
Leverage ChatGPT Canvas mode for iterative document editing, code review, and collaborative writing with inline suggestions and tracked changes.