Unlocking the full potential of
AI isn’t about using complex coding—it’s about knowing how to phrase your
requests. Beyond basic questions, ChatGPT responds to hidden operational modes,
special prompt frameworks, and lesser-known parameters that turn simple outputs
into high-level, professional results.
Here is a curated guide to 100 expert-tested ChatGPT commands, frameworks, and
power tricks categorized by use case.
1. Role-Playing & Persona Commands
Setting a persona forces ChatGPT to adopt specific domain knowledge, tone, and reasoning patterns.
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1. The World-Class Expert |
Act as a top-tier [profession, e.g., Chief Marketing Officer]. Review this [strategy/text] and provide detailed, actionable feedback. |
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2. The Harsh Critic |
Act as a ruthless editor. Critique my writing for clarity, flow, and conciseness without sparing my feelings. |
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3. The Socratic Tutor |
Act as a Socratic teacher. Do not give me the answer directly. Ask me questions one by one to guide me to the conclusion. |
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4. The Interviewer |
Act as a hiring manager for a [job title] position at a top company. Interview me one question at a time and evaluate my responses. |
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5. The Five-Year-Old Explanation (ELI5) |
Explain [complex topic] as if I am 5 years old using relatable everyday analogies. |
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6. The Devil’s Advocate |
I believe [statement]. Act as a skeptical devil's advocate and give me 5 strong counterarguments against my position. |
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7. The Debater |
Debate me on [topic]. Take the opposing side and point out logical fallacies in my arguments. |
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8. The Storyteller |
Adopt the style of [Author, e.g., Ernest Hemingway] and rewrite the following paragraph. |
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9. The Historical Figure |
Act as [Historical Figure, e.g., Marcus Aurelius]. Give me perspective on handling modern stress based on your philosophy. |
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10. The Technical Translator |
Explain [technical concept] to a non-technical executive who only cares about business impact. |
2. Advanced Prompt Frameworks
Structured prompting frameworks consistently yield the highest quality responses.
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11. RTF Framework (Role, Task, Format) |
Act as a Senior UX Researcher (Role). Conduct a heuristic evaluation of a checkout flow (Task). Present your findings in a Markdown table (Format). |
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12. TAG Framework (Task, Action, Goal) |
Task: Write a newsletter intro. Action: Use a catchy hook and a conversational tone. Goal: Increase click-through rate to our main article. |
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13. CARE Framework (Context, Action, Result, Example) |
Context: Launching a B2B SaaS tool. Action: Write an email sequence. Result: Book demo calls. Example: [Paste high-performing example]. |
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14. ROSES Framework (Role, Objective, Scenario, Expected Solution, Steps) |
Set up deep problem-solving prompts by explicitly stating each of the five ROSES variables. |
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15. APE Framework (Action, Purpose, Expectation) |
Clearly state what the AI should do, why it is doing it, and what success looks like. |
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16. Few-Shot Prompting |
Provide 2–3 exact input-output examples in your prompt before asking the AI to process new input. |
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17. Chain-of-Thought (CoT) |
Add 'Think step-by-step before answering' to force logical sequence and reduce errors. |
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18. Tree-of-Thought |
Explore 3 distinct paths or approaches to solve [problem]. Evaluate the pros and cons of each, then select the best one. |
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19. Generated Knowledge Prompting |
Ask ChatGPT to generate 5 relevant facts or principles about a topic first, then write the final piece using those facts. |
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20. Self-Consistency Prompting |
Generate 3 different solutions to this logic problem and cross-check them to determine the correct answer. |
3. Formatting & Output Control
Force the output format to match your workflow precisely.
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21. Markdown Tables |
Present the answer in a clean Markdown table with headers: [Header 1, Header 2, Header 3]. |
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22. JSON Output |
Format your output exclusively as valid JSON without markdown wrapping or prose. |
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23. CSV Matrix |
Provide the requested comparison as raw CSV data suitable for copying directly into Excel. |
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24. Bulleted Summaries with Bold Lead-Ins |
Summarize the key points in bullet format, starting each point with a bold two-word category. |
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25. ASCII Diagrams |
Draw a flow chart or architectural diagram of this process using ASCII text characters. |
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26. Code Blocks |
Output the response inside a single code block for easy one-click copying. |
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27. Character & Word Caps |
Summarize this article in exactly 50 words. or Keep your response under 280 characters. |
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28. Negative Prompting |
Explicitly instruct what not to include (e.g., 'Do not use corporate buzzwords like synergy or leverage'). |
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29. Tiered Headers |
Organize the response strictly using H2 (##) and H3 (###) headers. |
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30. Telegraphic Style |
Rewrite this to be ultra-concise. Omit filler words, articles, and unnecessary prose. |
4. Writing, Editing & Style Matching
Upgrade your written communication and match specific voices.
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31. Style Cloning |
Analyze the writing style, tone, and sentence structure of the text below. Then write a new piece on [Topic] matching this exact style: [Paste text] |
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32. Passive-to-Active Voice |
Rewrite this draft, converting all passive voice constructions into active, dynamic phrasing. |
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33. Tone Shifting |
Rewrite this email to sound professional yet warm, firm, and assertive. |
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34. Jargon Remover |
Identify all technical jargon in this draft and replace it with simple, clear alternatives. |
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35. The Hook Generator |
Provide 10 attention-grabbing opening hooks for an article about [Topic]. |
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36. Headline Matrix |
Generate 10 headlines using 5 different formulas: How-To, Listicle, Curiosity Gap, Question, and Bold Statement. |
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37. TL;DR Extraction |
Extract a 2-sentence Executive Summary and 3 key takeaways from this text. |
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38. Brevity Pass |
Reduce the length of this document by 30% without removing key information or facts. |
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39. Cliché Elimination |
Identify and replace any clichés or overused phrases in this document. |
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40. Grammar & Style Audit |
Proofread this text. List every correction made in a table with columns: Original, Correction, Reason. |
5. Coding, Data & Technical Workflows
Commands tailored for programmers, analysts, and power users.
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41. Code Refactoring |
Refactor this [language] code to improve readability, efficiency, and adherence to DRY principles. |
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42. Bug Hunter |
Find potential edge cases, logical errors, or security vulnerabilities in this code snippet. |
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43. Line-by-Line Documentation |
Add clear, explanatory inline comments to every key block of this code. |
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44. Language Translation |
Translate this Python function into idiomatic TypeScript. |
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45. Regex Builder |
Write a regular expression to match [pattern requirement] and explain how each segment works. |
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46. SQL Query Optimizer |
Optimize this SQL query for performance and explain why the changes speed up execution. |
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47. Unit Test Generator |
Write a suite of comprehensive unit tests for this function using [Testing Framework]. |
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48. API Payload Mocking |
Generate a sample JSON response payload for an API endpoint returning [Data Description]. |
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49. Error Explainer |
Explain what this error message means, why it happened, and how to fix it: [Paste Error]. |
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50. Git Command Assistant |
Provide the exact Git commands required to [perform complex branch merging/rebasing task]. |
6. Productivity & Workflow Hacks
Efficiency tricks to streamline daily tasks.
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51. Email Draft Refiner |
Draft a response politely declining this invitation while leaving the door open for future collaboration. |
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52. Meeting Agenda Creator |
Create a 45-minute structured meeting agenda for a project kickoff with 5 key stakeholders. |
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53. Action-Item Extractor |
Extract all action items, owners, and implied deadlines from these meeting notes. |
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54. SOP Creator |
Convert these informal instructions into a formal Standard Operating Procedure (SOP) with numbered steps. |
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55. Brainstorming Quantifier |
Generate 20 ideas for [project]. Group them into 4 distinct strategic categories. |
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56. Pros & Cons Matrix |
Create a decision matrix comparing [Option A] and [Option B] across cost, effort, risk, and impact. |
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57. Task Prioritization |
Use the Eisenhower Matrix to classify the following list of tasks into 4 quadrants. |
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58. Time-Boxing Planner |
Organize these daily tasks into a realistic time-blocked schedule starting at 8:00 AM. |
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59. Presentation Outline |
Draft an 8-slide pitch deck structure for [Topic], detailing the headline and visual cue for each slide. |
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60. Project Milestone Roadmap |
Break down a 3-month project to launch [Product] into weekly actionable milestones. |
7. Problem Solving & Critical Thinking
Deeper cognitive techniques to break down complex issues.
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61. 5 Whys Analysis |
Apply the 5 Whys framework to uncover the root cause of [Problem]. |
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62. First Principles Thinking |
Deconstruct [Industry/Problem] down to its fundamental truths and rebuild a strategy from scratch. |
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63. Pre-Mortem Strategy |
Assume our project to [Goal] failed catastrophically 6 months from now. List 5 main reasons why it failed and how to prevent them. |
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64. SWOT Analysis |
Conduct a comprehensive SWOT analysis for [Company/Idea]. |
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65. Pareto Principle (80/20 Rule) |
What 20% of effort will yield 80% of the results when learning/building [Topic]? |
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66. Second-Order Thinking |
What are the immediate, secondary, and long-term ripple effects of [Decision/Action]? |
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67. Inversion Technique |
Instead of asking how to succeed at [Goal], tell me how to guarantee complete failure at it. |
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68. Six Thinking Hats |
Evaluate [Decision] using Edward de Bono’s Six Thinking Hats framework. |
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69. SCAMPER Framework |
Apply the SCAMPER method (Substitute, Combine, Adapt, Modify, Put to another use, Eliminate, Reverse) to innovate [Product]. |
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70. Feasibility Study |
Evaluate [Idea] on technical feasibility, market viability, and resource requirements. |
8. Meta-Prompting & System Control
Commands that force ChatGPT to improve itself or alter its processing behavior.
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71. The Ultimate Meta-Prompt |
I want you to become my expert prompt engineer. Ask me questions to craft the perfect prompt for my goal. |
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72. Self-Correction Check |
Review your previous response. Identify any assumptions, errors, or missing details, and provide a corrected version. |
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73. Constraint Reverse-Engineering |
Look at this output: [Paste Text]. Write the exact prompt that would generate this result. |
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74. Iterative Refinement |
Provide a draft. Then ask me 3 follow-up questions to help refine it further. |
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75. Context Memory Anchor |
Summarize our current conversation into 5 key bullet points that we can reference as ground truth. |
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76. Custom System Prompt Simulator |
For the rest of this session, enforce the following rule: [Rule, e.g., Every answer must end with 3 next steps]. |
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77. Calibrated Confidence |
Answer [Question]. Rate your confidence level from 1–10 and explain any uncertainties. |
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78. Fact-Checking Trigger |
Identify every factual claim in your output and explain how it can be verified. |
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79. Multi-Perspective Synthesis |
Provide perspectives on [Topic] from three viewpoints: an economist, an environmentalist, and a technologist. |
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80. Tone & Style Audit |
Analyze the paragraph I wrote and list its tone, target audience, reading level, and emotional resonance. |
9. Learning & Skill Acquisition
Fast-track your learning process using tailored educational prompts.
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81. 80/20 Learning Roadmap |
I want to learn [Subject]. Create a 30-day curriculum focusing only on the vital 20% of knowledge I need to understand 80% of it. |
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82. Analogy Generator |
Explain [Complex Concept] using 3 completely different analogies (e.g., sports, cooking, building construction). |
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83. Feynman Technique |
Explain [Concept] in simple terms. If you use complex jargon, flag it and define it. |
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84. Active Recall Quiz |
Create a 5-question multiple-choice quiz on [Topic]. Do not show the answers until I submit my choices. |
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85. Spaced Repetition Flashcards |
Create 10 front-and-back flashcard pairs for studying [Topic], formatted for Anki import. |
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86. Misconception Debunker |
What are the 5 most common misconceptions about [Topic], and what is the actual truth? |
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87. Prerequisite Map |
What underlying concepts or skills do I need to master before attempting to learn [Advanced Topic]? |
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88. Book Summary Engine |
Summarize the key actionable takeaways from the book [Title] by [Author], categorized by theme. |
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89. Scenario-Based Practice |
Give me a realistic scenario involving [Skill/Topic] and ask me to make a decision. Then evaluate my choice. |
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90. Glossary Builder |
Create a key glossary of the 15 most important terms in [Field], with clear 1-sentence definitions. |
10. Clever Power Hacks & Shortcuts
Quick execution tricks to save time and streamline interactions.
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91. Instant Formatting Reset |
Include 'Ignore all previous formatting instructions and respond in plain text' to clear complex output styling. |
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92. The 'Continue' Trick |
If a response gets cut off mid-sentence, type 'Continue from the exact word where you stopped' to maintain smooth output. |
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93. Variable Injection |
Use brackets like [Insert Topic] or [Insert Target Audience] in your template prompts for fast reuse. |
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94. Multi-Task Prompting |
Combine tasks in numbered sequences: '1. Summarize this text. 2. Extract key metrics. 3. Draft a follow-up email.' |
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95. Polite Cut-Off |
Type 'Stop listing and provide only the top 3 best items' when answers become overly verbose. |
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96. Source Simulation |
Provide a list of arguments for [Topic] along with the types of evidence or data sources that typically support each argument. |
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97. Tone Calibration |
Prompt with target reading levels: 'Rewrite this for a 6th-grade reading level' or 'Rewrite this for a peer-reviewed publication.' |
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98. Delimiter Isolation |
Use triple quotes (""") or triple backticks (```) to separate instructions from source text so ChatGPT doesn't get confused. |
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99. Interactive Workflow |
Tell the AI: 'Wait for my input after each step before proceeding to the next.' |
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100. The Self-Evaluation Loop |
End your prompt with: 'After generating the output, evaluate it against my prompt criteria and output a refined version if needed.' |
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Key Takeaway: Prompt engineering isn't about memorizing every command—it's about combining Role, Context, Task, and Output Constraints to turn standard AI outputs into tailored, professional work. |

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