{"id":3085,"date":"2026-01-13T14:58:30","date_gmt":"2026-01-13T06:58:30","guid":{"rendered":"https:\/\/teen.aiproinstitute.com\/?p=3085"},"modified":"2026-01-13T15:52:30","modified_gmt":"2026-01-13T07:52:30","slug":"prompt-writing-formula","status":"publish","type":"post","link":"https:\/\/teen.aiproinstitute.com\/zh\/prompt-writing-formula\/","title":{"rendered":"Prompt Writing Formula"},"content":{"rendered":"
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\n\t\t\t\t\t\n\n\n \n \n Prompt Writing Formulas | AiPro Institute\u2122<\/title>\n <style>\n * {\n margin: 0;\n padding: 0;\n box-sizing: border-box;\n }\n\n body {\n font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\n background: #ffffff;\n color: #333;\n line-height: 1.6;\n padding: 20px;\n }\n\n .container {\n max-width: 1400px;\n margin: 0 auto;\n background: white;\n padding: 40px;\n box-shadow: 0 0 20px rgba(0,0,0,0.1);\n }\n\n .header {\n background: linear-gradient(135deg, #7B3FF2 0%, #00A8E8 100%);\n color: white;\n padding: 40px;\n border-radius: 10px;\n margin-bottom: 30px;\n text-align: center;\n }\n\n .header h1 {\n font-size: 2.5em;\n margin-bottom: 10px;\n font-weight: 700;\n }\n\n .header .subtitle {\n font-size: 1.2em;\n opacity: 0.95;\n font-weight: 300;\n }\n\n .member-badge {\n display: inline-block;\n background: rgba(255,255,255,0.2);\n padding: 8px 20px;\n border-radius: 20px;\n margin-top: 15px;\n font-size: 0.9em;\n font-weight: 500;\n }\n\n .section {\n margin-bottom: 40px;\n }\n\n .section-header {\n background: linear-gradient(135deg, #7B3FF2 0%, #00A8E8 100%);\n color: white;\n padding: 20px 30px;\n border-radius: 8px;\n margin-bottom: 20px;\n font-size: 1.8em;\n font-weight: 600;\n }\n\n .subsection {\n margin-bottom: 30px;\n background: #f8f9fa;\n padding: 25px;\n border-radius: 8px;\n border-left: 5px solid #7B3FF2;\n }\n\n .subsection h3 {\n color: #7B3FF2;\n font-size: 1.5em;\n margin-bottom: 15px;\n font-weight: 600;\n }\n\n .formula-card {\n background: white;\n padding: 25px;\n margin-bottom: 20px;\n border-radius: 8px;\n border: 2px solid #e0e0e0;\n transition: all 0.3s ease;\n }\n\n .formula-card:hover {\n border-color: #7B3FF2;\n box-shadow: 0 4px 12px rgba(123, 63, 242, 0.1);\n }\n\n .formula-card h4 {\n color: #00A8E8;\n font-size: 1.4em;\n margin-bottom: 15px;\n font-weight: 600;\n }\n\n .formula-box {\n background: linear-gradient(135deg, rgba(123, 63, 242, 0.1) 0%, rgba(0, 168, 232, 0.1) 100%);\n padding: 20px;\n border-radius: 8px;\n font-family: 'Courier New', monospace;\n margin: 15px 0;\n border-left: 4px solid #7B3FF2;\n font-size: 0.95em;\n line-height: 1.8;\n }\n\n .prompt-example {\n background: #1e1e1e;\n color: #d4d4d4;\n padding: 20px;\n border-radius: 8px;\n margin: 15px 0;\n font-family: 'Courier New', monospace;\n overflow-x: auto;\n font-size: 0.9em;\n line-height: 1.7;\n }\n\n .prompt-label {\n color: #4ec9b0;\n font-weight: bold;\n }\n\n .prompt-content {\n color: #ce9178;\n }\n\n .output-box {\n background: #f0f0f0;\n padding: 20px;\n border-radius: 8px;\n margin: 15px 0;\n border-left: 4px solid #4caf50;\n }\n\n .output-label {\n color: #2e7d32;\n font-weight: bold;\n display: block;\n margin-bottom: 10px;\n }\n\n .comparison-table {\n width: 100%;\n border-collapse: collapse;\n margin: 20px 0;\n background: white;\n box-shadow: 0 2px 8px rgba(0,0,0,0.1);\n }\n\n .comparison-table th {\n background: linear-gradient(135deg, #7B3FF2 0%, #00A8E8 100%);\n color: white;\n padding: 15px;\n text-align: left;\n font-weight: 600;\n }\n\n .comparison-table td {\n padding: 15px;\n border-bottom: 1px solid #e0e0e0;\n vertical-align: top;\n }\n\n .comparison-table tr:hover {\n background: #f8f9fa;\n }\n\n .best-practice {\n background: #e3f2fd;\n border-left: 5px solid #2196f3;\n padding: 15px;\n margin: 15px 0;\n border-radius: 5px;\n }\n\n .best-practice strong {\n color: #1565c0;\n }\n\n .pro-tip {\n background: #e8f5e9;\n border-left: 5px solid #4caf50;\n padding: 15px;\n margin: 15px 0;\n border-radius: 5px;\n }\n\n .pro-tip strong {\n color: #2e7d32;\n }\n\n .warning-box {\n background: #fff3e0;\n border-left: 5px solid #ff9800;\n padding: 15px;\n margin: 15px 0;\n border-radius: 5px;\n }\n\n .warning-box strong {\n color: #e65100;\n }\n\n .critical-box {\n background: #ffebee;\n border-left: 5px solid #f44336;\n padding: 15px;\n margin: 15px 0;\n border-radius: 5px;\n }\n\n .critical-box strong {\n color: #c62828;\n }\n\n .tag {\n display: inline-block;\n background: #7B3FF2;\n color: white;\n padding: 5px 12px;\n border-radius: 15px;\n font-size: 0.85em;\n margin: 5px 5px 5px 0;\n font-weight: 500;\n }\n\n .tag.basic { background: #4caf50; }\n .tag.intermediate { background: #ff9800; }\n .tag.advanced { background: #f44336; }\n .tag.technique { background: #9c27b0; }\n .tag.model-specific { background: #00bcd4; }\n\n .technique-grid {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));\n gap: 20px;\n margin: 20px 0;\n }\n\n .technique-card {\n background: white;\n padding: 20px;\n border-radius: 8px;\n border: 2px solid #e0e0e0;\n }\n\n .technique-card h4 {\n color: #7B3FF2;\n margin-bottom: 10px;\n font-size: 1.2em;\n }\n\n .before-after {\n display: grid;\n grid-template-columns: 1fr 1fr;\n gap: 20px;\n margin: 20px 0;\n }\n\n .before-box {\n background: #ffebee;\n padding: 20px;\n border-radius: 8px;\n border-left: 4px solid #f44336;\n }\n\n .before-box h5 {\n color: #c62828;\n margin-bottom: 10px;\n }\n\n .after-box {\n background: #e8f5e9;\n padding: 20px;\n border-radius: 8px;\n border-left: 4px solid #4caf50;\n }\n\n .after-box h5 {\n color: #2e7d32;\n margin-bottom: 10px;\n }\n\n .template-box {\n background: white;\n padding: 25px;\n border-radius: 8px;\n border: 2px solid #7B3FF2;\n margin: 20px 0;\n }\n\n .template-header {\n background: linear-gradient(135deg, #7B3FF2 0%, #00A8E8 100%);\n color: white;\n padding: 15px;\n border-radius: 5px;\n margin-bottom: 15px;\n font-weight: 600;\n }\n\n .variable {\n color: #7B3FF2;\n font-weight: bold;\n background: rgba(123, 63, 242, 0.1);\n padding: 2px 6px;\n border-radius: 3px;\n }\n\n ul, ol {\n margin-left: 20px;\n margin-top: 10px;\n }\n\n ul li, ol li {\n margin-bottom: 8px;\n }\n\n .checklist {\n background: white;\n padding: 20px;\n border-radius: 8px;\n border: 1px solid #e0e0e0;\n margin: 20px 0;\n }\n\n .checklist-item {\n padding: 10px;\n margin: 8px 0;\n background: #f8f9fa;\n border-left: 4px solid #7B3FF2;\n border-radius: 4px;\n }\n\n .model-comparison {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));\n gap: 15px;\n margin: 20px 0;\n }\n\n .model-card {\n background: white;\n padding: 20px;\n border-radius: 8px;\n border: 2px solid #e0e0e0;\n }\n\n .model-card h4 {\n color: #00A8E8;\n margin-bottom: 10px;\n font-size: 1.1em;\n }\n\n .metric-badge {\n display: inline-block;\n padding: 4px 10px;\n border-radius: 12px;\n font-size: 0.85em;\n margin: 3px;\n font-weight: 500;\n }\n\n .metric-badge.high { background: #e8f5e9; color: #2e7d32; }\n .metric-badge.medium { background: #fff3e0; color: #e65100; }\n .metric-badge.low { background: #ffebee; color: #c62828; }\n\n footer {\n margin-top: 50px;\n padding-top: 30px;\n border-top: 3px solid #7B3FF2;\n text-align: center;\n color: #666;\n }\n\n .footer-logo {\n font-size: 1.5em;\n font-weight: 700;\n background: linear-gradient(135deg, #7B3FF2 0%, #00A8E8 100%);\n -webkit-background-clip: text;\n -webkit-text-fill-color: transparent;\n background-clip: text;\n margin-bottom: 10px;\n }\n\n @media (max-width: 768px) {\n .container {\n padding: 20px;\n }\n\n .header h1 {\n font-size: 1.8em;\n }\n\n .section-header {\n font-size: 1.4em;\n padding: 15px 20px;\n }\n\n .before-after {\n grid-template-columns: 1fr;\n }\n\n .technique-grid, .model-comparison {\n grid-template-columns: 1fr;\n }\n }\n <\/style>\n<\/head>\n<body>\n <div class=\"container\">\n <div class=\"header\">\n <h1>\u270d\ufe0f Prompt Writing Formulas<\/h1>\n <div class=\"subtitle\">Master Prompt Engineering for Maximum AI Performance<\/div>\n <div class=\"member-badge\">AiPro Institute\u2122 Members Only<\/div>\n <\/div>\n\n <!-- Prompt Engineering Fundamentals -->\n <div class=\"section\">\n <div class=\"section-header\">\ud83c\udfaf Prompt Engineering Fundamentals<\/div>\n\n <div class=\"subsection\">\n <h3>What is Prompt Engineering?<\/h3>\n <p style=\"font-size: 1.1em; line-height: 1.8; margin-bottom: 20px;\">\n Prompt engineering is the practice of designing and optimizing input instructions to achieve desired outputs from AI language models. It's the bridge between human intent and AI execution\u2014the art and science of communicating effectively with artificial intelligence.\n <\/p>\n\n <div class=\"formula-card\">\n <h4>The Universal Prompt Formula<\/h4>\n <div class=\"formula-box\">\n<strong>PROMPT = CONTEXT + INSTRUCTION + INPUT + OUTPUT FORMAT<\/strong>\n\nWhere:\n\u2022 CONTEXT: Background information, role, constraints\n\u2022 INSTRUCTION: Clear, specific task description\n\u2022 INPUT: Data, examples, or content to work with\n\u2022 OUTPUT FORMAT: Desired structure and style of response\n <\/div>\n <\/div>\n\n <div class=\"formula-card\">\n <h4>The 6 Core Components of Effective Prompts<\/h4>\n <table class=\"comparison-table\">\n <thead>\n <tr>\n <th>Component<\/th>\n <th>Purpose<\/th>\n <th>Example<\/th>\n <\/tr>\n <\/thead>\n <tbody>\n <tr>\n <td><strong>1. Role\/Persona<\/strong><\/td>\n <td>Define the AI's expertise and perspective<\/td>\n <td>\"You are an expert data scientist...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>2. Task\/Instruction<\/strong><\/td>\n <td>Clearly state what needs to be done<\/td>\n <td>\"Analyze the following dataset and identify trends...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>3. Context<\/strong><\/td>\n <td>Provide background and constraints<\/td>\n <td>\"For a B2B SaaS company targeting enterprises...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>4. Input Data<\/strong><\/td>\n <td>Supply the content to work with<\/td>\n <td>\"Here is the sales data: [data]\"<\/td>\n <\/tr>\n <tr>\n <td><strong>5. Output Format<\/strong><\/td>\n <td>Specify structure and style<\/td>\n <td>\"Provide response as a bulleted list...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>6. Examples (Optional)<\/strong><\/td>\n <td>Show desired input-output patterns<\/td>\n <td>\"Example: Input: [X] \u2192 Output: [Y]\"<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Prompt Engineering Best Practices<\/h3>\n\n <div class=\"checklist\">\n <div class=\"checklist-item\">\n \u2713 <strong>Be Specific and Clear:<\/strong> Vague prompts yield vague results. Precision matters.\n <\/div>\n <div class=\"checklist-item\">\n \u2713 <strong>Use Action Verbs:<\/strong> \"Analyze,\" \"Generate,\" \"Summarize,\" \"Compare\" (not \"Tell me about...\")\n <\/div>\n <div class=\"checklist-item\">\n \u2713 <strong>Provide Context:<\/strong> Include relevant background information upfront\n <\/div>\n <div class=\"checklist-item\">\n \u2713 <strong>Set Constraints:<\/strong> Word count, tone, audience, restrictions\n <\/div>\n <div class=\"checklist-item\">\n \u2713 <strong>Define Output Format:<\/strong> Specify structure (list, table, JSON, paragraphs)\n <\/div>\n <div class=\"checklist-item\">\n \u2713 <strong>Use Delimiters:<\/strong> Separate sections with ###, \"\"\", or XML tags\n <\/div>\n <div class=\"checklist-item\">\n \u2713 <strong>Iterate and Refine:<\/strong> Test, measure, and improve prompts systematically\n <\/div>\n <div class=\"checklist-item\">\n \u2713 <strong>Request Step-by-Step:<\/strong> For complex tasks, ask for reasoning before conclusion\n <\/div>\n <\/div>\n\n <div class=\"warning-box\">\n <strong>\u26a0\ufe0f Common Mistakes to Avoid:<\/strong>\n <ul>\n <li>Assuming the model has access to real-time data or internet (unless explicitly enabled)<\/li>\n <li>Using ambiguous pronouns (\"it,\" \"that,\" \"this\") without clear antecedents<\/li>\n <li>Overloading a single prompt with multiple unrelated tasks<\/li>\n <li>Neglecting to specify tone and audience<\/li>\n <li>Failing to provide examples for complex or novel tasks<\/li>\n <\/ul>\n <\/div>\n <\/div>\n <\/div>\n\n <!-- Core Prompt Structures -->\n <div class=\"section\">\n <div class=\"section-header\">\ud83d\udcd0 Core Prompt Structures<\/div>\n\n <div class=\"subsection\">\n <h3>1. Zero-Shot Prompting<\/h3>\n <span class=\"tag basic\">Basic<\/span>\n <span class=\"tag\">No Examples<\/span>\n\n <div class=\"formula-card\">\n <h4>Structure<\/h4>\n <p>Direct instruction without examples. Model relies on pre-trained knowledge.<\/p>\n \n <div class=\"formula-box\">\n<strong>Zero-Shot Template:<\/strong>\n\n[ROLE]: You are [expertise\/perspective]\n[TASK]: [Clear instruction]\n[CONTEXT]: [Background information]\n[CONSTRAINTS]: [Limitations\/requirements]\n[OUTPUT]: [Desired format]\n <\/div>\n\n <div class=\"prompt-example\">\n<span class=\"prompt-label\">PROMPT:<\/span>\n<span class=\"prompt-content\">You are an expert email marketer.\n\nWrite a compelling subject line for a promotional email about our new AI-powered analytics tool. \n\nContext: Our audience is mid-level marketing managers at B2B companies. The tool helps them visualize campaign performance and predict trends.\n\nRequirements:\n- 6-10 words maximum\n- Create urgency without being spammy\n- Highlight the benefit, not the feature\n\nFormat: Provide 3 options with brief rationale for each.<\/span>\n <\/div>\n\n <div class=\"output-box\">\n <span class=\"output-label\">OUTPUT:<\/span>\n <strong>Option 1:<\/strong> \"See Your Marketing Future\u2014Today\"<br>\n Rationale: Creates intrigue and emphasizes predictive capability<br><br>\n <strong>Option 2:<\/strong> \"Turn Campaign Data Into Revenue Growth\"<br>\n Rationale: Benefit-focused, addresses ROI concern<br><br>\n <strong>Option 3:<\/strong> \"Stop Guessing. Start Growing Your Pipeline\"<br>\n Rationale: Addresses pain point and solution\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 When to Use:<\/strong> Simple, well-defined tasks where the model has sufficient pre-trained knowledge. Ideal for content generation, basic analysis, formatting tasks.\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>2. Few-Shot Prompting<\/h3>\n <span class=\"tag intermediate\">Intermediate<\/span>\n <span class=\"tag\">With Examples<\/span>\n\n <div class=\"formula-card\">\n <h4>Structure<\/h4>\n <p>Provide 2-5 examples to establish pattern and style.<\/p>\n \n <div class=\"formula-box\">\n<strong>Few-Shot Template:<\/strong>\n\n[INSTRUCTION]: [Clear task description]\n[CONTEXT]: [Background if needed]\n\n[EXAMPLES]:\nExample 1:\nInput: [example input 1]\nOutput: [example output 1]\n\nExample 2:\nInput: [example input 2]\nOutput: [example output 2]\n\nExample 3:\nInput: [example input 3]\nOutput: [example output 3]\n\n[ACTUAL TASK]:\nInput: [real input]\nOutput:\n <\/div>\n\n <div class=\"prompt-example\">\n<span class=\"prompt-label\">PROMPT:<\/span>\n<span class=\"prompt-content\">Classify customer support tickets into categories: Technical Issue, Billing Question, Feature Request, or General Inquiry.\n\nExamples:\n\nInput: \"I can't log in to my account. I keep getting an error message saying 'invalid credentials' even though I'm sure my password is correct.\"\nOutput: Technical Issue\n\nInput: \"I was charged twice this month. Can you help me get a refund for the duplicate charge?\"\nOutput: Billing Question\n\nInput: \"It would be great if you could add a dark mode to the app. Many users have been asking for this.\"\nOutput: Feature Request\n\nNow classify this ticket:\nInput: \"What are your business hours for customer support?\"\nOutput:<\/span>\n <\/div>\n\n <div class=\"output-box\">\n <span class=\"output-label\">OUTPUT:<\/span>\n General Inquiry\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 When to Use:<\/strong> Tasks requiring specific format, style, or domain knowledge. Essential for classification, extraction, and transformation tasks with particular nuances.\n <\/div>\n\n <div class=\"best-practice\">\n <strong>\u2713 Few-Shot Best Practices:<\/strong>\n <ul>\n <li>Use 2-5 examples (more isn't always better due to context limits)<\/li>\n <li>Examples should represent diverse scenarios<\/li>\n <li>Maintain consistent formatting across examples<\/li>\n <li>Use representative edge cases if relevant<\/li>\n <li>Order examples from simple to complex<\/li>\n <\/ul>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>3. Chain-of-Thought (CoT) Prompting<\/h3>\n <span class=\"tag advanced\">Advanced<\/span>\n <span class=\"tag technique\">Reasoning<\/span>\n\n <div class=\"formula-card\">\n <h4>Structure<\/h4>\n <p>Elicit step-by-step reasoning before final answer. Dramatically improves complex problem-solving.<\/p>\n \n <div class=\"formula-box\">\n<strong>Chain-of-Thought Template:<\/strong>\n\n[TASK]: [Problem description]\n\n[INSTRUCTION]: Let's solve this step by step:\n1. [First step\/consideration]\n2. [Second step\/consideration]\n3. [Third step\/consideration]\n...\n\n[FINAL ANSWER]: Based on this reasoning, [conclusion]\n <\/div>\n\n <div class=\"prompt-example\">\n<span class=\"prompt-label\">PROMPT:<\/span>\n<span class=\"prompt-content\">A company had 3,000 customers at the start of Q1. They gained 450 new customers during the quarter but lost 275 customers. What was their net customer growth rate for Q1?\n\nLet's solve this step by step:<\/span>\n <\/div>\n\n <div class=\"output-box\">\n <span class=\"output-label\">OUTPUT:<\/span>\n Let's solve this step by step:<br><br>\n 1. <strong>Starting customers:<\/strong> 3,000<br>\n 2. <strong>New customers gained:<\/strong> +450<br>\n 3. <strong>Customers lost (churn):<\/strong> -275<br>\n 4. <strong>Net change:<\/strong> 450 - 275 = 175 customers<br>\n 5. <strong>Growth rate calculation:<\/strong> (Net change \/ Starting customers) \u00d7 100<br>\n 6. <strong>Math:<\/strong> (175 \/ 3,000) \u00d7 100 = 5.83%<br><br>\n <strong>Final Answer:<\/strong> The company's net customer growth rate for Q1 was 5.83%\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 When to Use:<\/strong> Mathematical problems, logical reasoning, multi-step analysis, debugging, strategic planning. Essential for tasks requiring transparency in reasoning.\n <\/div>\n <\/div>\n\n <div class=\"formula-card\">\n <h4>Few-Shot Chain-of-Thought<\/h4>\n <p>Combine Few-Shot + CoT for maximum effectiveness on complex tasks.<\/p>\n\n <div class=\"prompt-example\">\n<span class=\"prompt-label\">PROMPT:<\/span>\n<span class=\"prompt-content\">Solve these word problems by showing your reasoning:\n\nExample:\nQ: A store had 48 apples. They sold 3\/4 of them. How many apples are left?\nA: Let's solve step by step:\n1. Find 3\/4 of 48: (3\/4) \u00d7 48 = 36 apples sold\n2. Subtract from original: 48 - 36 = 12 apples\nAnswer: 12 apples remain\n\nNow solve this:\nQ: A train travels 240 miles in 4 hours. If it maintains the same speed, how far will it travel in 7 hours?\nA:<\/span>\n <\/div>\n\n <div class=\"output-box\">\n <span class=\"output-label\">OUTPUT:<\/span>\n Let's solve step by step:<br>\n 1. Calculate the train's speed: 240 miles \u00f7 4 hours = 60 mph<br>\n 2. Calculate distance at that speed for 7 hours: 60 mph \u00d7 7 hours = 420 miles<br>\n Answer: The train will travel 420 miles in 7 hours\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>4. ReAct (Reasoning + Acting)<\/h3>\n <span class=\"tag advanced\">Advanced<\/span>\n <span class=\"tag technique\">Multi-Step<\/span>\n\n <div class=\"formula-card\">\n <h4>Structure<\/h4>\n <p>Interleave reasoning, actions, and observations for tool-using agents.<\/p>\n \n <div class=\"formula-box\">\n<strong>ReAct Template:<\/strong>\n\nQuestion: [Problem\/query]\n\nThought: [Reasoning about what to do next]\nAction: [Tool\/function to use]\nObservation: [Result from action]\n\nThought: [Reasoning about observation]\nAction: [Next action]\nObservation: [Result]\n\n... (repeat until solution found)\n\nThought: [Final reasoning]\nAnswer: [Final answer based on all observations]\n <\/div>\n\n <div class=\"prompt-example\">\n<span class=\"prompt-label\">PROMPT:<\/span>\n<span class=\"prompt-content\">Question: What was the population of Paris in the year the Eiffel Tower was completed?\n\nUse the following format:\nThought: [your reasoning]\nAction: [search\/calculate\/lookup]\nObservation: [result]\n\nSolve step by step:<\/span>\n <\/div>\n\n <div class=\"output-box\">\n <span class=\"output-label\">OUTPUT:<\/span>\n <strong>Thought:<\/strong> I need to find when the Eiffel Tower was completed first.<br>\n <strong>Action:<\/strong> Search \"Eiffel Tower completion year\"<br>\n <strong>Observation:<\/strong> The Eiffel Tower was completed in 1889.<br><br>\n \n <strong>Thought:<\/strong> Now I need to find Paris's population in 1889.<br>\n <strong>Action:<\/strong> Search \"Paris population 1889\"<br>\n <strong>Observation:<\/strong> Paris had approximately 2.4 million inhabitants in 1889.<br><br>\n \n <strong>Thought:<\/strong> I now have both pieces of information needed.<br>\n <strong>Answer:<\/strong> The population of Paris in 1889, when the Eiffel Tower was completed, was approximately 2.4 million people.\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 When to Use:<\/strong> Multi-step research tasks, questions requiring tool use (search, calculation, API calls), agent-based systems, complex investigations.\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>5. Self-Consistency<\/h3>\n <span class=\"tag advanced\">Advanced<\/span>\n <span class=\"tag technique\">Ensemble<\/span>\n\n <div class=\"formula-card\">\n <h4>Structure<\/h4>\n <p>Generate multiple reasoning paths and select the most consistent answer.<\/p>\n \n <div class=\"formula-box\">\n<strong>Self-Consistency Template:<\/strong>\n\n[PROBLEM]: [Question or task]\n\nGenerate 3-5 different reasoning paths:\n\nApproach 1:\n[Reasoning path 1]\nAnswer: [Result 1]\n\nApproach 2:\n[Reasoning path 2]\nAnswer: [Result 2]\n\nApproach 3:\n[Reasoning path 3]\nAnswer: [Result 3]\n\nFinal Answer: [Most frequent\/consistent answer with confidence level]\n <\/div>\n\n <div class=\"prompt-example\">\n<span class=\"prompt-label\">PROMPT:<\/span>\n<span class=\"prompt-content\">Problem: If a bakery makes 12 batches of cookies, with 24 cookies per batch, and packs them into boxes of 8 cookies each, how many boxes do they need?\n\nGenerate 3 different approaches to solve this:<\/span>\n <\/div>\n\n <div class=\"output-box\">\n <span class=\"output-label\">OUTPUT:<\/span>\n <strong>Approach 1 (Total then divide):<\/strong><br>\n - Total cookies: 12 \u00d7 24 = 288<br>\n - Boxes needed: 288 \u00f7 8 = 36 boxes<br><br>\n \n <strong>Approach 2 (Per-batch then multiply):<\/strong><br>\n - Boxes per batch: 24 \u00f7 8 = 3 boxes<br>\n - Total boxes: 3 \u00d7 12 = 36 boxes<br><br>\n \n <strong>Approach 3 (Grouping):<\/strong><br>\n - Each batch (24 cookies) needs 3 boxes of 8<br>\n - 12 batches \u00d7 3 boxes = 36 boxes<br><br>\n \n <strong>Final Answer:<\/strong> 36 boxes (all three approaches agree, high confidence)\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 When to Use:<\/strong> Critical decisions, mathematical problems, scenarios where accuracy is paramount. Increases reliability by catching reasoning errors.\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>6. Tree of Thoughts (ToT)<\/h3>\n <span class=\"tag advanced\">Advanced<\/span>\n <span class=\"tag technique\">Search<\/span>\n\n <div class=\"formula-card\">\n <h4>Structure<\/h4>\n <p>Explore multiple reasoning branches, evaluate each, and select the most promising path.<\/p>\n \n <div class=\"formula-box\">\n<strong>Tree of Thoughts Template:<\/strong>\n\nProblem: [Challenge description]\n\nBranch 1: [First approach]\n\u251c\u2500 Pros: [Advantages]\n\u251c\u2500 Cons: [Disadvantages]\n\u2514\u2500 Viability: [Score\/assessment]\n\nBranch 2: [Second approach]\n\u251c\u2500 Pros: [Advantages]\n\u251c\u2500 Cons: [Disadvantages]\n\u2514\u2500 Viability: [Score\/assessment]\n\nBranch 3: [Third approach]\n\u251c\u2500 Pros: [Advantages]\n\u251c\u2500 Cons: [Disadvantages]\n\u2514\u2500 Viability: [Score\/assessment]\n\nSelected Path: [Best branch with reasoning]\nExecution: [Detailed solution using selected approach]\n <\/div>\n\n <div class=\"prompt-example\">\n<span class=\"prompt-label\">PROMPT:<\/span>\n<span class=\"prompt-content\">Problem: Our SaaS company needs to reduce customer churn from 8% to 5% within 6 months. Explore different strategic approaches:\n\nEvaluate multiple branches and select the most promising strategy.<\/span>\n <\/div>\n\n <div class=\"output-box\">\n <span class=\"output-label\">OUTPUT:<\/span>\n <strong>Branch 1: Enhanced Onboarding<\/strong><br>\n Pros: Addresses early churn, improves activation<br>\n Cons: Only helps new customers, takes time to see results<br>\n Viability: 6\/10<br><br>\n \n <strong>Branch 2: Predictive Churn Model + Proactive Outreach<\/strong><br>\n Pros: Targets at-risk customers before they leave, data-driven<br>\n Cons: Requires ML infrastructure, needs historical data<br>\n Viability: 9\/10<br><br>\n \n <strong>Branch 3: Feature Enhancement Based on User Feedback<\/strong><br>\n Pros: Addresses root causes, improves product value<br>\n Cons: Longer development cycle, may not impact churn in 6 months<br>\n Viability: 5\/10<br><br>\n \n <strong>Selected Path: Branch 2 - Predictive Churn Model<\/strong><br>\n Reasoning: Highest impact in shortest timeframe, addresses existing customer base, measurable ROI...<br>\n [Detailed execution plan follows]\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n <!-- Advanced Techniques -->\n <div class=\"section\">\n <div class=\"section-header\">\ud83d\ude80 Advanced Prompting Techniques<\/div>\n\n <div class=\"subsection\">\n <h3>Role Prompting \/ Persona Assignment<\/h3>\n\n <div class=\"formula-card\">\n <h4>Expert Role Template<\/h4>\n <div class=\"formula-box\">\nYou are a <span class=\"variable\">[ROLE]<\/span> with <span class=\"variable\">[YEARS]<\/span> years of experience in <span class=\"variable\">[DOMAIN]<\/span>.\n\nYour expertise includes:\n- <span class=\"variable\">[SKILL 1]<\/span>\n- <span class=\"variable\">[SKILL 2]<\/span>\n- <span class=\"variable\">[SKILL 3]<\/span>\n\nYour communication style is <span class=\"variable\">[STYLE]<\/span> and you always <span class=\"variable\">[APPROACH]<\/span>.\n\nTask: <span class=\"variable\">[INSTRUCTION]<\/span>\n <\/div>\n\n <div class=\"prompt-example\">\n<span class=\"prompt-label\">EXAMPLE:<\/span>\n<span class=\"prompt-content\">You are a senior DevOps engineer with 10 years of experience in cloud infrastructure and CI\/CD pipelines.\n\nYour expertise includes:\n- Kubernetes orchestration and scaling\n- Infrastructure as Code (Terraform, CloudFormation)\n- Security best practices and compliance\n- Cost optimization strategies\n\nYour communication style is technical but accessible, and you always provide concrete examples with code snippets.\n\nTask: Review this Docker configuration and suggest improvements for production deployment.<\/span>\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 Pro Tip:<\/strong> Specific roles yield better results than generic ones. \"Senior B2B SaaS marketing manager\" > \"marketing expert\" > \"helpful assistant\"\n <\/div>\n <\/div>\n\n <div class=\"technique-grid\">\n <div class=\"technique-card\">\n <h4>Perspective Shifting<\/h4>\n <p>\"Analyze this from the perspective of [role]\"<\/p>\n <p><strong>Example:<\/strong> \"As a CFO, evaluate this investment...\"<\/p>\n <\/div>\n <div class=\"technique-card\">\n <h4>Multiple Personas<\/h4>\n <p>Ask the AI to represent different viewpoints<\/p>\n <p><strong>Example:<\/strong> \"Debate this topic with responses from a developer, designer, and PM\"<\/p>\n <\/div>\n <div class=\"technique-card\">\n <h4>Devil's Advocate<\/h4>\n <p>\"Challenge this idea from a skeptical perspective\"<\/p>\n <p><strong>Example:<\/strong> \"Play devil's advocate and find flaws in this strategy\"<\/p>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Instruction Hierarchy & Prompt Chaining<\/h3>\n\n <div class=\"formula-card\">\n <h4>Multi-Step Prompt Chain<\/h4>\n <div class=\"formula-box\">\n<strong>Prompt 1 (Research):<\/strong>\nAnalyze [topic] and list 5 key insights\n\n<strong>Prompt 2 (Synthesis):<\/strong>\nBased on these insights: [output from Prompt 1]\nCreate a strategic framework\n\n<strong>Prompt 3 (Application):<\/strong>\nUsing this framework: [output from Prompt 2]\nGenerate actionable recommendations for [specific scenario]\n\n<strong>Prompt 4 (Refinement):<\/strong>\nTake these recommendations: [output from Prompt 3]\nCreate implementation plan with timeline\n <\/div>\n\n <div class=\"best-practice\">\n <strong>\u2713 When to Use Chaining:<\/strong>\n <ul>\n <li><strong>Complex Projects:<\/strong> Break down large tasks into manageable steps<\/li>\n <li><strong>Quality Control:<\/strong> Each step can be reviewed before proceeding<\/li>\n <li><strong>Token Efficiency:<\/strong> Keep each prompt focused and under context limits<\/li>\n <li><strong>Iterative Refinement:<\/strong> Progressively improve output quality<\/li>\n <\/ul>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Constraint-Based Prompting<\/h3>\n\n <div class=\"formula-card\">\n <h4>Constraint Template<\/h4>\n <div class=\"formula-box\">\n[TASK]: <span class=\"variable\">[Instruction]<\/span>\n\nRequirements:\n\u2713 Length: <span class=\"variable\">[word\/character count]<\/span>\n\u2713 Tone: <span class=\"variable\">[professional\/casual\/technical\/etc.]<\/span>\n\u2713 Audience: <span class=\"variable\">[target audience]<\/span>\n\u2713 Format: <span class=\"variable\">[structure specification]<\/span>\n\u2713 Must Include: <span class=\"variable\">[required elements]<\/span>\n\u2713 Must Avoid: <span class=\"variable\">[prohibited elements]<\/span>\n\u2713 Style: <span class=\"variable\">[writing style guidelines]<\/span>\n\nAdditional Constraints:\n- <span class=\"variable\">[Constraint 1]<\/span>\n- <span class=\"variable\">[Constraint 2]<\/span>\n- <span class=\"variable\">[Constraint 3]<\/span>\n <\/div>\n\n <div class=\"prompt-example\">\n<span class=\"prompt-label\">EXAMPLE:<\/span>\n<span class=\"prompt-content\">Write a product description for noise-canceling headphones.\n\nRequirements:\n\u2713 Length: Exactly 150 words\n\u2713 Tone: Enthusiastic but not hyperbolic\n\u2713 Audience: Remote workers aged 28-45\n\u2713 Format: Single paragraph with 3 key benefits\n\u2713 Must Include: Price point ($199), battery life (40 hours), key feature names\n\u2713 Must Avoid: Technical jargon, comparison to competitors, warranty details\n\u2713 Style: Active voice, conversational, benefit-focused\n\nAdditional Constraints:\n- Start with an attention-grabbing question\n- End with a clear call-to-action\n- Include one specific use case scenario\n- Use power words that evoke quality and peace<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Output Formatting Techniques<\/h3>\n\n <div class=\"technique-grid\">\n <div class=\"technique-card\">\n <h4>Structured Data (JSON)<\/h4>\n <div class=\"prompt-example\" style=\"font-size: 0.85em;\">\nOutput as JSON:\n{\n \"summary\": \"...\",\n \"key_points\": [...],\n \"recommendations\": [...]\n}\n <\/div>\n <\/div>\n\n <div class=\"technique-card\">\n <h4>Table Format<\/h4>\n <div class=\"prompt-example\" style=\"font-size: 0.85em;\">\nOutput as markdown table:\n| Feature | Benefit | Priority |\n|---------|---------|----------|\n <\/div>\n <\/div>\n\n <div class=\"technique-card\">\n <h4>XML\/HTML Structure<\/h4>\n <div class=\"prompt-example\" style=\"font-size: 0.85em;\">\nUse XML tags:\n<analysis>\n <strength>...<\/strength>\n <weakness>...<\/weakness>\n<\/analysis>\n <\/div>\n <\/div>\n\n <div class=\"technique-card\">\n <h4>Bullet Point Hierarchy<\/h4>\n <div class=\"prompt-example\" style=\"font-size: 0.85em;\">\nUse hierarchical bullets:\n\u2022 Main Point\n - Sub-point\n * Detail\n <\/div>\n <\/div>\n\n <div class=\"technique-card\">\n <h4>Step-by-Step List<\/h4>\n <div class=\"prompt-example\" style=\"font-size: 0.85em;\">\nFormat as numbered steps:\n1. First action\n2. Second action\n a. Sub-step\n b. Sub-step\n <\/div>\n <\/div>\n\n <div class=\"technique-card\">\n <h4>Code Block<\/h4>\n <div class=\"prompt-example\" style=\"font-size: 0.85em;\">\nProvide response in \ncode blocks with syntax:\n```python\n# code here\n```\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Delimiter Techniques<\/h3>\n\n <div class=\"formula-card\">\n <h4>Using Delimiters for Clarity<\/h4>\n <p>Delimiters help separate instructions from data, especially important for preventing prompt injection.<\/p>\n\n <div class=\"prompt-example\">\n<span class=\"prompt-label\">EXAMPLE WITH DELIMITERS:<\/span>\n<span class=\"prompt-content\">Summarize the following customer review in one sentence. Focus on the main sentiment.\n\nReview to summarize:\n\"\"\"\nI've been using this product for 3 months now and I'm thoroughly impressed. The build quality is exceptional, and the battery life exceeds my expectations. The only minor issue is the app sometimes lags, but overall it's a fantastic purchase. Highly recommend!\n\"\"\"\n\nProvide the summary as a single sentence.<\/span>\n <\/div>\n\n <div class=\"best-practice\">\n <strong>\u2713 Common Delimiter Options:<\/strong>\n <ul>\n <li><strong>Triple quotes:<\/strong> \"\"\" content \"\"\"<\/li>\n <li><strong>Triple backticks:<\/strong> ``` content ```<\/li>\n <li><strong>XML tags:<\/strong> <content>...<\/content><\/li>\n <li><strong>Dashes\/Hashes:<\/strong> --- content ---<\/li>\n <li><strong>Brackets:<\/strong> [[[content]]]<\/li>\n <\/ul>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n <!-- Model-Specific Optimization -->\n <div class=\"section\">\n <div class=\"section-header\">\ud83e\udd16 Model-Specific Prompt Optimization<\/div>\n\n <div class=\"subsection\">\n <h3>Model Comparison Guide<\/h3>\n\n <div class=\"model-comparison\">\n <div class=\"model-card\">\n <h4>GPT-4 \/ GPT-4 Turbo<\/h4>\n <span class=\"metric-badge high\">Reasoning: Excellent<\/span>\n <span class=\"metric-badge high\">Context: 128K<\/span>\n <span class=\"metric-badge medium\">Speed: Medium<\/span>\n <p><strong>Best For:<\/strong><\/p>\n <ul>\n <li>Complex reasoning tasks<\/li>\n <li>Long document analysis<\/li>\n <li>Creative writing<\/li>\n <li>Code generation<\/li>\n <\/ul>\n <p><strong>Prompt Tips:<\/strong><\/p>\n <ul>\n <li>Use system messages for role<\/li>\n <li>Leverage large context window<\/li>\n <li>Request step-by-step reasoning<\/li>\n <\/ul>\n <\/div>\n\n <div class=\"model-card\">\n <h4>Claude 3 (Opus\/Sonnet)<\/h4>\n <span class=\"metric-badge high\">Reasoning: Excellent<\/span>\n <span class=\"metric-badge high\">Context: 200K<\/span>\n <span class=\"metric-badge high\">Safety: High<\/span>\n <p><strong>Best For:<\/strong><\/p>\n <ul>\n <li>Analysis & research<\/li>\n <li>Long document processing<\/li>\n <li>Thoughtful conversations<\/li>\n <li>Nuanced understanding<\/li>\n <\/ul>\n <p><strong>Prompt Tips:<\/strong><\/p>\n <ul>\n <li>Direct, clear instructions work best<\/li>\n <li>Use XML tags for structure<\/li>\n <li>Excels at careful reasoning<\/li>\n <\/ul>\n <\/div>\n\n <div class=\"model-card\">\n <h4>GPT-3.5 Turbo<\/h4>\n <span class=\"metric-badge medium\">Reasoning: Good<\/span>\n <span class=\"metric-badge medium\">Context: 16K<\/span>\n <span class=\"metric-badge high\">Speed: Very Fast<\/span>\n <p><strong>Best For:<\/strong><\/p>\n <ul>\n <li>Quick tasks<\/li>\n <li>Simple Q&A<\/li>\n <li>Content generation<\/li>\n <li>Cost-effective processing<\/li>\n <\/ul>\n <p><strong>Prompt Tips:<\/strong><\/p>\n <ul>\n <li>Keep prompts concise<\/li>\n <li>Use examples for complex tasks<\/li>\n <li>Clear, explicit instructions<\/li>\n <\/ul>\n <\/div>\n\n <div class=\"model-card\">\n <h4>Gemini 1.5 Pro<\/h4>\n <span class=\"metric-badge high\">Reasoning: Excellent<\/span>\n <span class=\"metric-badge high\">Context: 1M tokens<\/span>\n <span class=\"metric-badge high\">Multimodal: Yes<\/span>\n <p><strong>Best For:<\/strong><\/p>\n <ul>\n <li>Massive document analysis<\/li>\n <li>Video\/audio processing<\/li>\n <li>Multimodal tasks<\/li>\n <li>Code understanding<\/li>\n <\/ul>\n <p><strong>Prompt Tips:<\/strong><\/p>\n <ul>\n <li>Leverage huge context window<\/li>\n <li>Combine text, image, video<\/li>\n <li>Good at long-range dependencies<\/li>\n <\/ul>\n <\/div>\n\n <div class=\"model-card\">\n <h4>Llama 3 (70B)<\/h4>\n <span class=\"metric-badge medium\">Reasoning: Good<\/span>\n <span class=\"metric-badge medium\">Context: 8K<\/span>\n <span class=\"metric-badge high\">Open Source: Yes<\/span>\n <p><strong>Best For:<\/strong><\/p>\n <ul>\n <li>On-premise deployment<\/li>\n <li>Cost-sensitive applications<\/li>\n <li>Privacy-critical use cases<\/li>\n <li>Fine-tuning customization<\/li>\n <\/ul>\n <p><strong>Prompt Tips:<\/strong><\/p>\n <ul>\n <li>Use clear system prompts<\/li>\n <li>Benefits from examples<\/li>\n <li>Simpler language preferred<\/li>\n <\/ul>\n <\/div>\n\n <div class=\"model-card\">\n <h4>Mistral Large<\/h4>\n <span class=\"metric-badge high\">Reasoning: Very Good<\/span>\n <span class=\"metric-badge medium\">Context: 32K<\/span>\n <span class=\"metric-badge high\">Multilingual: Excellent<\/span>\n <p><strong>Best For:<\/strong><\/p>\n <ul>\n <li>European languages<\/li>\n <li>Code generation<\/li>\n <li>Structured output<\/li>\n <li>JSON mode<\/li>\n <\/ul>\n <p><strong>Prompt Tips:<\/strong><\/p>\n <ul>\n <li>Strong instruction following<\/li>\n <li>Excellent with French, Spanish<\/li>\n <li>Use JSON schema for structure<\/li>\n <\/ul>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>System Prompts vs User Prompts<\/h3>\n\n <table class=\"comparison-table\">\n <thead>\n <tr>\n <th>Aspect<\/th>\n <th>System Prompt<\/th>\n <th>User Prompt<\/th>\n <\/tr>\n <\/thead>\n <tbody>\n <tr>\n <td><strong>Purpose<\/strong><\/td>\n <td>Set overall behavior, role, constraints<\/td>\n <td>Specific task instruction<\/td>\n <\/tr>\n <tr>\n <td><strong>Persistence<\/strong><\/td>\n <td>Applies to entire conversation<\/td>\n <td>Single turn or specific request<\/td>\n <\/tr>\n <tr>\n <td><strong>Content<\/strong><\/td>\n <td>Role definition, guidelines, constraints<\/td>\n <td>Actual task, data, questions<\/td>\n <\/tr>\n <tr>\n <td><strong>When to Use<\/strong><\/td>\n <td>Define consistent behavior<\/td>\n <td>Specific tasks and queries<\/td>\n <\/tr>\n <tr>\n <td><strong>Example<\/strong><\/td>\n <td>\"You are a Python expert. Always provide type hints and docstrings.\"<\/td>\n <td>\"Write a function to sort a list of dictionaries by a specific key.\"<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n\n <div class=\"formula-card\">\n <h4>Effective System Prompt Template<\/h4>\n <div class=\"formula-box\">\n<strong>System Prompt Structure:<\/strong>\n\nYou are <span class=\"variable\">[ROLE\/IDENTITY]<\/span>.\n\nYour primary objectives:\n1. <span class=\"variable\">[OBJECTIVE 1]<\/span>\n2. <span class=\"variable\">[OBJECTIVE 2]<\/span>\n3. <span class=\"variable\">[OBJECTIVE 3]<\/span>\n\nGuidelines:\n- Always <span class=\"variable\">[BEHAVIOR 1]<\/span>\n- Never <span class=\"variable\">[PROHIBITED BEHAVIOR]<\/span>\n- When <span class=\"variable\">[CONDITION]<\/span>, then <span class=\"variable\">[ACTION]<\/span>\n\nOutput format: <span class=\"variable\">[DEFAULT FORMAT]<\/span>\n\nConstraints:\n- <span class=\"variable\">[CONSTRAINT 1]<\/span>\n- <span class=\"variable\">[CONSTRAINT 2]<\/span>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n <!-- Industry-Specific Templates -->\n <div class=\"section\">\n <div class=\"section-header\">\ud83c\udfe2 Industry-Specific Prompt Templates<\/div>\n\n <div class=\"subsection\">\n <h3>Marketing & Content Creation<\/h3>\n\n <div class=\"template-box\">\n <div class=\"template-header\">SEO Content Brief Generator<\/div>\n <div class=\"prompt-example\">\nCreate an SEO content brief for a blog post:\n\nTarget Keyword: <span class=\"variable\">[keyword]<\/span>\nSearch Intent: <span class=\"variable\">[informational\/transactional\/navigational]<\/span>\nTarget Audience: <span class=\"variable\">[description]<\/span>\nCompany: <span class=\"variable\">[industry\/product]<\/span>\n\nProvide:\n1. Suggested title (3 options, include target keyword)\n2. Meta description (150-160 characters)\n3. H2\/H3 outline structure (6-8 sections)\n4. Primary keywords and LSI keywords\n5. Internal linking opportunities\n6. Content angle and unique value proposition\n7. Recommended word count\n8. Call-to-action suggestions\n <\/div>\n <\/div>\n\n <div class=\"template-box\">\n <div class=\"template-header\">Social Media Caption Formula<\/div>\n <div class=\"prompt-example\">\nWrite a <span class=\"variable\">[platform]<\/span> post for:\n\nProduct\/Topic: <span class=\"variable\">[description]<\/span>\nBrand Voice: <span class=\"variable\">[personality traits]<\/span>\nGoal: <span class=\"variable\">[engagement\/awareness\/conversion]<\/span>\nTarget Audience: <span class=\"variable\">[demographics]<\/span>\n\nStructure:\n- Hook (first 5 words must grab attention)\n- Value\/benefit statement\n- Call-to-action\n- 3-5 relevant hashtags\n\nConstraints:\n- Conversational tone\n- Use emoji strategically (2-3 maximum)\n- <span class=\"variable\">[character limit]<\/span>\n <\/div>\n <\/div>\n\n <div class=\"template-box\">\n <div class=\"template-header\">Email Marketing Sequence<\/div>\n <div class=\"prompt-example\">\nCreate a 5-email nurture sequence for:\n\nCampaign Goal: <span class=\"variable\">[lead nurture\/onboarding\/re-engagement]<\/span>\nProduct: <span class=\"variable\">[description]<\/span>\nAudience: <span class=\"variable\">[description]<\/span>\nKey Benefits: <span class=\"variable\">[list]<\/span>\n\nFor each email provide:\n- Subject line (2 variants, A\/B test ready)\n- Preview text\n- Email body (conversational, value-focused)\n- CTA (clear, action-oriented)\n- Timing (days from previous email)\n\nTone: <span class=\"variable\">[professional\/casual\/friendly]<\/span>\nLength: <span class=\"variable\">[short\/medium\/long]<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Software Development & Technical<\/h3>\n\n <div class=\"template-box\">\n <div class=\"template-header\">Code Review & Debugging<\/div>\n <div class=\"prompt-example\">\nYou are a senior software engineer conducting a code review.\n\nReview the following <span class=\"variable\">[language]<\/span> code:\n\n```\n<span class=\"variable\">[code snippet]<\/span>\n```\n\nEvaluate:\n1. Correctness: Does it work as intended?\n2. Performance: Are there optimization opportunities?\n3. Security: Any vulnerabilities (SQL injection, XSS, etc.)?\n4. Best Practices: Follows <span class=\"variable\">[language]<\/span> conventions?\n5. Readability: Clear variable names, comments, structure?\n6. Error Handling: Proper exception management?\n7. Testing: Suggest unit tests\n\nProvide:\n- Issues found (severity: critical\/major\/minor)\n- Specific line numbers\n- Refactored code with improvements\n- Explanation of changes\n <\/div>\n <\/div>\n\n <div class=\"template-box\">\n <div class=\"template-header\">Technical Documentation Generator<\/div>\n <div class=\"prompt-example\">\nGenerate comprehensive documentation for:\n\nFunction\/API: <span class=\"variable\">[name]<\/span>\nLanguage: <span class=\"variable\">[programming language]<\/span>\nPurpose: <span class=\"variable\">[description]<\/span>\n\nInclude:\n1. Overview and purpose\n2. Parameters (type, description, required\/optional, defaults)\n3. Return value (type, description)\n4. Exceptions\/errors that can be raised\n5. Usage examples (3 scenarios: basic, intermediate, advanced)\n6. Edge cases and limitations\n7. Related functions\/methods\n8. Performance considerations\n\nFormat: Markdown with proper syntax highlighting\nStyle: Clear, beginner-friendly, with code examples\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Business Analysis & Strategy<\/h3>\n\n <div class=\"template-box\">\n <div class=\"template-header\">SWOT Analysis Generator<\/div>\n <div class=\"prompt-example\">\nConduct a comprehensive SWOT analysis for:\n\nCompany\/Product: <span class=\"variable\">[name]<\/span>\nIndustry: <span class=\"variable\">[industry]<\/span>\nMarket Position: <span class=\"variable\">[leader\/challenger\/niche]<\/span>\nContext: <span class=\"variable\">[recent changes, goals]<\/span>\n\nAnalyze:\n\n<strong>Strengths (Internal Positive)<\/strong>\n- List 5-7 key strengths\n- For each: specific evidence, quantify if possible\n\n<strong>Weaknesses (Internal Negative)<\/strong>\n- List 5-7 vulnerabilities\n- For each: impact level, potential mitigation\n\n<strong>Opportunities (External Positive)<\/strong>\n- List 5-7 market opportunities\n- For each: feasibility, potential ROI\n\n<strong>Threats (External Negative)<\/strong>\n- List 5-7 external risks\n- For each: likelihood, mitigation strategies\n\n<strong>Strategic Recommendations<\/strong>\n- 3-5 actionable strategies based on analysis\n- Prioritized by impact and feasibility\n <\/div>\n <\/div>\n\n <div class=\"template-box\">\n <div class=\"template-header\">Competitive Analysis<\/div>\n <div class=\"prompt-example\">\nCompare <span class=\"variable\">[your company\/product]<\/span> against competitors:\n\nCompetitors: <span class=\"variable\">[list 2-4 competitors]<\/span>\nFocus Areas: <span class=\"variable\">[features, pricing, market share, etc.]<\/span>\n\nCreate comparison table with:\n- Product features (side-by-side)\n- Pricing tiers and value proposition\n- Target audience and positioning\n- Strengths and weaknesses of each\n- Market share and growth trends\n- Customer satisfaction\/reviews analysis\n- Unique differentiators\n\nConclude with:\n1. Your competitive advantages\n2. Areas for improvement\n3. Market gaps\/opportunities\n4. Recommended positioning strategy\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Customer Support & Communication<\/h3>\n\n <div class=\"template-box\">\n <div class=\"template-header\">Customer Support Response Template<\/div>\n <div class=\"prompt-example\">\nGenerate a customer support response for:\n\nIssue: <span class=\"variable\">[customer complaint\/question]<\/span>\nCustomer Sentiment: <span class=\"variable\">[frustrated\/confused\/neutral\/happy]<\/span>\nPriority: <span class=\"variable\">[low\/medium\/high\/urgent]<\/span>\nProduct: <span class=\"variable\">[product name]<\/span>\n\nResponse structure:\n1. Empathetic acknowledgment (show understanding)\n2. Apology if appropriate (genuine, specific)\n3. Clear explanation of issue\n4. Step-by-step solution\n5. Verification\/follow-up offer\n6. Additional resources (if applicable)\n7. Closing with positive tone\n\nTone: <span class=\"variable\">[empathetic\/professional\/friendly]<\/span>\nLength: <span class=\"variable\">[concise\/detailed]<\/span>\n\nAvoid:\n- Jargon or technical language\n- Making excuses\n- Generic copy-paste responses\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Education & Training<\/h3>\n\n <div class=\"template-box\">\n <div class=\"template-header\">Lesson Plan Generator<\/div>\n <div class=\"prompt-example\">\nCreate a lesson plan for:\n\nTopic: <span class=\"variable\">[subject matter]<\/span>\nAudience: <span class=\"variable\">[grade level\/experience level]<\/span>\nDuration: <span class=\"variable\">[time]<\/span>\nLearning Objectives: <span class=\"variable\">[3-5 specific objectives]<\/span>\n\nStructure:\n\n<strong>1. Introduction (5-10 min)<\/strong>\n- Hook\/engagement activity\n- Learning objectives preview\n- Connection to prior knowledge\n\n<strong>2. Direct Instruction (20-30 min)<\/strong>\n- Key concepts breakdown\n- Examples and demonstrations\n- Visual aids suggestions\n\n<strong>3. Guided Practice (15-20 min)<\/strong>\n- Interactive activities\n- Collaborative work\n- Teacher scaffolding\n\n<strong>4. Independent Practice (15-20 min)<\/strong>\n- Individual exercises\n- Problem-solving tasks\n- Application activities\n\n<strong>5. Assessment & Closure (10 min)<\/strong>\n- Check for understanding\n- Summary of key points\n- Preview next lesson\n\nInclude:\n- Materials needed\n- Differentiation strategies\n- Assessment criteria\n- Extension activities for advanced learners\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n <!-- Optimization & Testing -->\n <div class=\"section\">\n <div class=\"section-header\">\u26a1 Prompt Optimization & Testing<\/div>\n\n <div class=\"subsection\">\n <h3>Common Prompt Problems & Fixes<\/h3>\n\n <div class=\"before-after\">\n <div class=\"before-box\">\n <h5>\u274c WEAK PROMPT<\/h5>\n <p style=\"font-style: italic;\">\"Write about AI\"<\/p>\n <p><strong>Problems:<\/strong><\/p>\n <ul>\n <li>No clear objective<\/li>\n <li>No scope or constraints<\/li>\n <li>No target audience<\/li>\n <li>No output format<\/li>\n <\/ul>\n <\/div>\n <div class=\"after-box\">\n <h5>\u2713 STRONG PROMPT<\/h5>\n <p style=\"font-style: italic;\">\"Write a 500-word blog post explaining how AI-powered customer service chatbots improve response times for e-commerce businesses. Target audience: small business owners with no technical background. Tone: informative but accessible. Include 3 real-world examples and one actionable implementation tip.\"<\/p>\n <p><strong>Improvements:<\/strong><\/p>\n <ul>\n <li>Specific length constraint<\/li>\n <li>Clear topic and angle<\/li>\n <li>Defined audience<\/li>\n <li>Tone specification<\/li>\n <li>Content requirements<\/li>\n <\/ul>\n <\/div>\n <\/div>\n\n <div class=\"before-after\">\n <div class=\"before-box\">\n <h5>\u274c WEAK PROMPT<\/h5>\n <p style=\"font-style: italic;\">\"Help me with this code\"<\/p>\n <p><strong>Problems:<\/strong><\/p>\n <ul>\n <li>No code provided<\/li>\n <li>No error description<\/li>\n <li>No expected behavior<\/li>\n <li>No context<\/li>\n <\/ul>\n <\/div>\n <div class=\"after-box\">\n <h5>\u2713 STRONG PROMPT<\/h5>\n <p style=\"font-style: italic;\">\"Debug this Python function. It should return the sum of even numbers in a list, but it's returning incorrect results for negative numbers. Here's the code: [code]. Expected: sum_even([-2, 3, 4, -5]) \u2192 2. Actual: 6. Explain the bug and provide corrected code with comments.\"<\/p>\n <p><strong>Improvements:<\/strong><\/p>\n <ul>\n <li>Code included<\/li>\n <li>Specific problem stated<\/li>\n <li>Test case with expected\/actual<\/li>\n <li>Clear deliverable<\/li>\n <\/ul>\n <\/div>\n <\/div>\n\n <div class=\"before-after\">\n <div class=\"before-box\">\n <h5>\u274c WEAK PROMPT<\/h5>\n <p style=\"font-style: italic;\">\"Analyze this data and tell me what you think\"<\/p>\n <p><strong>Problems:<\/strong><\/p>\n <ul>\n <li>Vague objective<\/li>\n <li>No analysis focus<\/li>\n <li>No format specified<\/li>\n <li>Subjective request<\/li>\n <\/ul>\n <\/div>\n <div class=\"after-box\">\n <h5>\u2713 STRONG PROMPT<\/h5>\n <p style=\"font-style: italic;\">\"Analyze this sales data from Q1-Q4 2024. Identify: 1) Top 3 performing products by revenue, 2) Month-over-month growth trends, 3) Seasonal patterns, 4) Underperforming categories. Present findings as a markdown table with key metrics and a bullet list of actionable insights. Data: [CSV data]\"<\/p>\n <p><strong>Improvements:<\/strong><\/p>\n <ul>\n <li>Specific analysis goals<\/li>\n <li>Clear structure<\/li>\n <li>Format defined<\/li>\n <li>Data context provided<\/li>\n <\/ul>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Prompt Testing Framework<\/h3>\n\n <div class=\"formula-card\">\n <h4>Systematic Prompt Evaluation<\/h4>\n <table class=\"comparison-table\">\n <thead>\n <tr>\n <th>Criterion<\/th>\n <th>Questions to Ask<\/th>\n <th>Target Score<\/th>\n <\/tr>\n <\/thead>\n <tbody>\n <tr>\n <td><strong>Clarity<\/strong><\/td>\n <td>Is the instruction unambiguous? Can someone else interpret it the same way?<\/td>\n <td>9-10\/10<\/td>\n <\/tr>\n <tr>\n <td><strong>Specificity<\/strong><\/td>\n <td>Are all parameters defined? Length, format, tone, constraints?<\/td>\n <td>8-10\/10<\/td>\n <\/tr>\n <tr>\n <td><strong>Context<\/strong><\/td>\n <td>Is sufficient background provided? Does the AI have what it needs?<\/td>\n <td>8-10\/10<\/td>\n <\/tr>\n <tr>\n <td><strong>Consistency<\/strong><\/td>\n <td>Does the prompt produce consistent results across multiple runs?<\/td>\n <td>7-10\/10<\/td>\n <\/tr>\n <tr>\n <td><strong>Efficiency<\/strong><\/td>\n <td>Is the prompt concise without sacrificing clarity?<\/td>\n <td>7-10\/10<\/td>\n <\/tr>\n <tr>\n <td><strong>Measurability<\/strong><\/td>\n <td>Can output quality be objectively evaluated?<\/td>\n <td>8-10\/10<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n\n <div class=\"checklist\">\n <h4 style=\"color: #7B3FF2; margin-bottom: 15px;\">Prompt Testing Checklist<\/h4>\n <div class=\"checklist-item\">\n \u2713 Test with edge cases and unusual inputs\n <\/div>\n <div class=\"checklist-item\">\n \u2713 Run the same prompt 3-5 times to check consistency\n <\/div>\n <div class=\"checklist-item\">\n \u2713 Vary temperature settings (0.0 for deterministic, 0.7+ for creative)\n <\/div>\n <div class=\"checklist-item\">\n \u2713 Test with different but similar inputs to verify generalization\n <\/div>\n <div class=\"checklist-item\">\n \u2713 Compare outputs across different models\n <\/div>\n <div class=\"checklist-item\">\n \u2713 Have others interpret your prompt (clarity check)\n <\/div>\n <div class=\"checklist-item\">\n \u2713 Measure response time and token usage (cost efficiency)\n <\/div>\n <div class=\"checklist-item\">\n \u2713 Document what works and what doesn't\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Iterative Prompt Refinement Process<\/h3>\n\n <div class=\"formula-card\">\n <h4>5-Step Refinement Cycle<\/h4>\n <div class=\"formula-box\">\n<strong>Step 1: BASELINE<\/strong>\nWrite initial prompt with basic requirements\n\n<strong>Step 2: TEST<\/strong>\nRun prompt multiple times, collect outputs\n\n<strong>Step 3: EVALUATE<\/strong>\nAssess quality against criteria:\n- Accuracy\n- Completeness\n- Format compliance\n- Tone\/style match\n\n<strong>Step 4: IDENTIFY GAPS<\/strong>\nWhat's missing? What's incorrect?\n- Ambiguous instructions?\n- Missing constraints?\n- Insufficient context?\n- Unclear output format?\n\n<strong>Step 5: REFINE<\/strong>\nAdd specificity, examples, constraints\nReturn to Step 2\n\n<strong>Goal: Achieve 85%+ satisfaction rate across test runs<\/strong>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Advanced Optimization Techniques<\/h3>\n\n <div class=\"technique-grid\">\n <div class=\"technique-card\">\n <h4>Temperature Tuning<\/h4>\n <ul>\n <li><strong>0.0-0.3:<\/strong> Deterministic, factual, consistent<\/li>\n <li><strong>0.4-0.7:<\/strong> Balanced creativity and coherence<\/li>\n <li><strong>0.8-1.0:<\/strong> Highly creative, diverse outputs<\/li>\n <li><strong>1.0+:<\/strong> Experimental, unpredictable<\/li>\n <\/ul>\n <\/div>\n\n <div class=\"technique-card\">\n <h4>Top-P (Nucleus Sampling)<\/h4>\n <ul>\n <li><strong>0.1:<\/strong> Very focused, safe choices<\/li>\n <li><strong>0.5:<\/strong> Moderate diversity<\/li>\n <li><strong>0.9:<\/strong> High diversity, creative<\/li>\n <li><strong>0.95:<\/strong> Maximum reasonable diversity<\/li>\n <\/ul>\n <\/div>\n\n <div class=\"technique-card\">\n <h4>Max Tokens<\/h4>\n <ul>\n <li>Set based on expected output length<\/li>\n <li>Too low: truncated responses<\/li>\n <li>Too high: unnecessary cost<\/li>\n <li>Rule of thumb: 1 token \u2248 0.75 words<\/li>\n <\/ul>\n <\/div>\n\n <div class=\"technique-card\">\n <h4>Stop Sequences<\/h4>\n <ul>\n <li>Define custom stopping points<\/li>\n <li>Useful for structured output<\/li>\n <li>Example: Stop at \"###\" or \"\\n\\n\"<\/li>\n <li>Prevents over-generation<\/li>\n <\/ul>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n <!-- Quick Reference -->\n <div class=\"section\">\n <div class=\"section-header\">\ud83d\udcd6 Quick Reference: Prompt Patterns<\/div>\n\n <div class=\"subsection\">\n <h3>Essential Prompt Patterns Cheat Sheet<\/h3>\n\n <table class=\"comparison-table\">\n <thead>\n <tr>\n <th>Pattern<\/th>\n <th>When to Use<\/th>\n <th>Template<\/th>\n <\/tr>\n <\/thead>\n <tbody>\n <tr>\n <td><strong>Persona Pattern<\/strong><\/td>\n <td>Need specific expertise or perspective<\/td>\n <td>\"Act as a [role] who [characteristics]...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>Format Pattern<\/strong><\/td>\n <td>Need structured output<\/td>\n <td>\"Provide output as [format: JSON\/table\/list]...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>Example Pattern<\/strong><\/td>\n <td>Complex or novel tasks<\/td>\n <td>\"Here are examples: [examples]. Now do [task]...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>Template Pattern<\/strong><\/td>\n <td>Consistent output structure needed<\/td>\n <td>\"Fill in this template: [template with placeholders]...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>Chain Pattern<\/strong><\/td>\n <td>Multi-step processes<\/td>\n <td>\"First [step 1], then [step 2], finally [step 3]...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>Constraint Pattern<\/strong><\/td>\n <td>Specific requirements or limitations<\/td>\n <td>\"[Task] with constraints: [list constraints]...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>Refinement Pattern<\/strong><\/td>\n <td>Improving existing output<\/td>\n <td>\"Improve this [content] by [specific improvements]...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>Comparison Pattern<\/strong><\/td>\n <td>Evaluating options<\/td>\n <td>\"Compare [A] and [B] across [criteria]...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>Reasoning Pattern<\/strong><\/td>\n <td>Need transparent logic<\/td>\n <td>\"Explain your reasoning step by step before answering...\"<\/td>\n <\/tr>\n <tr>\n <td><strong>Negative Pattern<\/strong><\/td>\n <td>Avoid specific outcomes<\/td>\n <td>\"[Task] but do NOT [unwanted behaviors]...\"<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n\n <div class=\"subsection\">\n <h3>Power Words for Effective Prompts<\/h3>\n\n <div class=\"technique-grid\">\n <div class=\"technique-card\">\n <h4>Action Verbs<\/h4>\n <p>Analyze, Generate, Summarize, Compare, Evaluate, Create, Design, Develop, Optimize, Transform, Extract, Classify, Debug, Refactor<\/p>\n <\/div>\n\n <div class=\"technique-card\">\n <h4>Constraint Words<\/h4>\n <p>Exactly, Only, Maximum, Minimum, Must include, Must avoid, Within, Between, No more than, At least<\/p>\n <\/div>\n\n <div class=\"technique-card\">\n <h4>Structure Words<\/h4>\n <p>First, Then, Next, Finally, Step-by-step, In order, Sequence, Before, After, While<\/p>\n <\/div>\n\n <div class=\"technique-card\">\n <h4>Quality Words<\/h4>\n <p>Comprehensive, Detailed, Concise, Specific, Actionable, Clear, Professional, Accurate, Thorough, Precise<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n <!-- Final Tips -->\n <div class=\"section\">\n <div class=\"section-header\">\ud83d\udc8e Final Pro Tips & Best Practices<\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 Tip 1: Start with Clarity, Iterate for Perfection<\/strong><br>\n Your first prompt doesn't need to be perfect. Start with clear basics, test, and refine based on results. Version control your prompts like code.\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 Tip 2: Use Prompt Libraries<\/strong><br>\n Build a personal library of tested prompts for common tasks. Reuse and adapt rather than starting from scratch every time.\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 Tip 3: Context is King<\/strong><br>\n More context = better results. Include relevant background, constraints, audience, and desired outcome. Don't assume the model knows implicit information.\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 Tip 4: Examples Beat Explanations<\/strong><br>\n When possible, show don't tell. One good example is worth a paragraph of instructions.\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 Tip 5: Measure and Optimize<\/strong><br>\n Track what works. Note model, temperature, prompt structure, and output quality. Use A\/B testing for critical applications.\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 Tip 6: Break Down Complex Tasks<\/strong><br>\n Instead of one giant prompt, use prompt chaining. Each step can be reviewed and refined, leading to better final output.\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 Tip 7: Be Specific About Format<\/strong><br>\n Don't just ask for \"a report\"\u2014specify structure, length, sections, tone. The more precise your format requirements, the better the output.\n <\/div>\n\n <div class=\"pro-tip\">\n <strong>\ud83d\udca1 Tip 8: Use Delimiters for Safety<\/strong><br>\n Wrap user input in delimiters (\"\"\", ###, XML tags) to prevent prompt injection and improve parsing, especially in production systems.\n <\/div>\n\n <div class=\"warning-box\">\n <strong>\u26a0\ufe0f Remember:<\/strong> Prompt engineering is both art and science. What works for one model or task may not work for another. Always test, iterate, and adapt to your specific use case.\n <\/div>\n\n <div class=\"critical-box\">\n <strong>\ud83d\udd12 Security Note:<\/strong> Never include sensitive data in prompts unless using appropriate privacy measures. Be aware of prompt injection attacks in user-facing applications. Validate and sanitize all user inputs.\n <\/div>\n <\/div>\n\n <footer>\n <div class=\"footer-logo\">AiPro Institute\u2122<\/div>\n <p>Prompt Writing Formulas | Members Only Resource<\/p>\n <p style=\"margin-top: 10px; font-size: 0.9em;\">\n \u00a9 2024 AiPro Institute. Master the art of communicating with AI.\n Practice, experiment, and refine your craft for optimal results.\n <\/p>\n <\/footer>\n <\/div>\n<\/body>\n<\/html>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Prompt Writing Formulas | AiPro Institute\u2122 \u270d\ufe0f Prompt Writing Formulas Master Prompt Engineering for Maximum AI Performance AiPro Institute\u2122 Members Only \ud83c\udfaf Prompt Engineering Fundamentals What is Prompt Engineering? Prompt engineering is the practice of designing and optimizing input instructions to achieve desired outputs from AI language models. It’s the bridge between human intent and…<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[83],"tags":[],"class_list":["post-3085","post","type-post","status-publish","format-standard","hentry","category-ai-machine-learning"],"acf":[],"_links":{"self":[{"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/posts\/3085","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/comments?post=3085"}],"version-history":[{"count":4,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/posts\/3085\/revisions"}],"predecessor-version":[{"id":3196,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/posts\/3085\/revisions\/3196"}],"wp:attachment":[{"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/media?parent=3085"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/categories?post=3085"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/tags?post=3085"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}