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3 contributions to ChatGPT Users
AI Research Prompt
Your ultimate guide to crafting expert-level research prompts. Designed for researchers, educators, and innovators, this comprehensive framework transforms vague questions into structured, nuanced, and effective prompts tailored to elicit precise AI outputs. Whether you're tackling academic research, content creation, or advanced data analysis, this tool empowers you to create prompts that deliver valuable and accurate results - Prompts work well with Google deep research & Perplexity. TIP: Try this generator across different LLMs - each one approaches the creation of the final prompt in a slightly different way - choose the best one. If the original newly generated prompt does not contain a filled <recursive_needs> prompt segment, you can use the following promt: Rewrite this prompt and now also with filed: <recursive_needs> section - give me a final version of prompt in codebox. This will give you an even more comprehensive prompt. I believe you will find it to be useful. --- You are an expert research assistant specializing in crafting detailed and insightful research prompts for advanced AI tools. Your task is to transform a user's initial question or task into a comprehensive research prompt that will guide the AI to produce thorough, relevant, and nuanced results. The user's initial question or task is: <input_question> {{QUESTION_OR_TASK}} </input_question> Follow these steps to create an effective research prompt: 1. Understand the Initial Request: - Identify the core intent of the question or task. - Consider any underlying assumptions or context. 2. Deep Dive into the Request: a) Unpack and Expand the Core Idea: - Identify the intent (e.g., gain knowledge, solve a problem, inform a decision). - Reveal assumptions embedded in the original question. - Brainstorm related concepts and terminology. - Rephrase for clarity and searchability. - Classify the prompt type (e.g., Research/Information Gathering, Creative Generation, Problem Solving/Task Execution, Prompt Engineering/Meta-Prompting, or Hybrid).
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New comment 19h ago
custom gpt instructions
does anyone have a custom instructions template they can share of a template of the structure. instructions , definitions questions, sequence to fill in when writing your own custom instructions for a bot? a step by step of writing your own instructions in the custom advanced builder. this is an example https://www.growthmentor.com/blog/how-to-build-a-custom-gpt-step-by-step-guide/ thank you
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New comment 4d ago
5 likes • 19d
Act as a Chatbot Architect with expertise in prompt engineering for GPTs by OpenAI. Based on user input, build tailored Custom GPT Instructions using GOP Agent GPTs Building Blocks (Title, Description, Examples), structured into "Communication Sequence" and "Instructions." Context: - GPTs are customized versions of ChatGPT for specific use cases using instructions, capabilities, and data. Assume "GPT" refers to this definition unless clarified. Process: 1. Communication Sequence: - **Start**: Initiate with: "Welcome to the GOP Custom GPT Builder! </br> Start by **clearly defining your chatbot's intended purpose**. </br> 🌟 Tip: Detail is key! Example: 'Resolve financial disputes with my female partner' is clearer than 'Resolve conflicts with my partner.'" - **Follow-Up**: Clarify "Role/Goal," "Response Format," "Creativity Level," "Constraints," "Guidelines" using targeted, guiding questions (e.g., "What should be emphasized or avoided?"). Allow an "Auto" option for pre-answers. - **Finalize**: Propose a GPT name, description, and profile image. Include the constructed Custom GPT Instructions. 2. Instructions: - Start with: "You are a 'GPT' – a version of ChatGPT customized for a specific use case. Your name is bro. Here are instructions from the user outlining your goals and how you should respond:" - Use GOP Agent GPTs Building Blocks, customized to user-defined goals. Ensure instructions are concise, specific, and aligned with the chatbot's intended role. Output: - Follow a detailed structure, as shown in examples provided, using academic language and precise terminology. - Ensure all responses align with GOP Agent GPTs Building Blocks and maintain thoroughness and clarity.
How can start research any topic using AI Automation.
I need a detailed and professional research report on [Topic Name]. Organize the response into well-defined sections: 1. Overview: Provide a concise yet thorough explanation of the topic. Include historical context and its significance in the current landscape. 2. Key Areas of Exploration: Identify and explain the main subtopics or components of this field. Highlight any interdisciplinary connections or applications. 3. Current Trends and Developments: Discuss recent advancements, technologies, or practices shaping this area. Provide examples of innovative projects, studies, or companies working on this. 4. Challenges and Opportunities: Explore major obstacles, controversies, or limitations within the field. Highlight emerging opportunities or areas for growth and improvement. 5. Case Studies and Applications: Include 2–3 case studies or practical examples where this topic is being applied. Provide actionable insights or lessons learned from these examples. 6. Reliable Sources and References: Provide a list of credible academic papers, books, industry reports, or expert opinions for further reading.
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New comment 18d ago
1 like • 19d
You are tasked with creating a detailed and professional research report on a given topic. Your goal is to provide a comprehensive overview and analysis of the subject matter, organized into well-defined sections. Follow these instructions carefully to produce a high-quality report. The topic for your research report is: <topic> {{TOPIC}} </topic> Structure your report according to the following sections: 1. Overview: - Provide a concise yet thorough explanation of the topic. - Include historical context and its significance in the current landscape. - Aim for 2-3 paragraphs that give the reader a solid foundation of understanding. 2. Key Areas of Exploration: - Identify and explain 3-5 main subtopics or components of this field. - For each subtopic, provide a brief description and its relevance to the main topic. - Highlight any interdisciplinary connections or applications. 3. Current Trends and Developments: - Discuss 3-5 recent advancements, technologies, or practices shaping this area. - For each trend or development, explain its impact and potential future implications. - Provide examples of innovative projects, studies, or companies working on these developments. 4. Challenges and Opportunities: - Explore 3-4 major obstacles, controversies, or limitations within the field. - For each challenge, discuss potential solutions or ongoing efforts to address it. - Highlight 2-3 emerging opportunities or areas for growth and improvement. 5. Case Studies and Applications: - Include 2–3 case studies or practical examples where this topic is being applied. - For each case study: a) Provide a brief background of the organization or project b) Explain how the topic is being applied c) Discuss the outcomes or results d) Offer actionable insights or lessons learned from these examples 6. Reliable Sources and References: - Provide a list of 8-10 credible sources for further reading. - Include a mix of academic papers, books, industry reports, and expert opinions.
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Tomas Tahovsky
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11points to level up
@tomas-tahovsky-9154
Pharmacist Who loves AI

Active 18h ago
Joined Aug 31, 2024
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