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).