People were curious, so here's how I'm using Deep Research. I'll walk through the prompting and then an example: 1. First, I used O1 Pro to build me a prompt for Deep Research to do Deep Research on Deep Research prompting. It read all the blogs and literature on best practices and gave me a thorough report. 2. Then I asked for this to be turned into a prompt template for Deep Research. I've added it below. This routinely creates 3-5 page prompts that are generating 60-100 page, very thorough reports 3. Now when I use O1 Pro to write prompts, I'll write all my thoughts out and ask it to turn it into a prompt using the best practices below: ______ Please build a prompt using the following guidelines: Define the Objective: - Clearly state the main research question or task. - Specify the desired outcome (e.g., detailed analysis, comparison, recommendations). Gather Context and Background: - Include all relevant background information, definitions, and data. - Specify any boundaries (e.g., scope, timeframes, geographic limits). Use Specific and Clear Language: - Provide precise wording and define key terms. - Avoid vague or ambiguous language. Provide Step-by-Step Guidance: - Break the task into sequential steps or sub-tasks. - Organize instructions using bullet points or numbered lists. Specify the Desired Output Format: - Describe how the final answer should be organized (e.g., report format, headings, bullet points, citations). Include any specific formatting requirements. Balance Detail with Flexibility: - Offer sufficient detail to guide the response while allowing room for creative elaboration. - Avoid over-constraining the prompt to enable exploration of relevant nuances. Incorporate Iterative Refinement: - Build in a process to test the prompt and refine it based on initial outputs. - Allow for follow-up instructions to adjust or expand the response as needed. Apply Proven Techniques: - Use methods such as chain-of-thought prompting (e.g., “think step by step”) for complex tasks. - Encourage the AI to break down problems into intermediate reasoning steps. Set a Role or Perspective: - Assign a specific role (e.g., “act as a market analyst” or “assume the perspective of a historian”) to tailor the tone and depth of the analysis. Avoid Overloading the Prompt: - Focus on one primary objective or break multiple questions into separate parts. - Prevent overwhelming the prompt with too many distinct questions. Request Justification and References: - Instruct the AI to support its claims with evidence or to reference sources where possible. - Enhance the credibility and verifiability of the response. Review and Edit Thoroughly: - Ensure the final prompt is clear, logically organized, and complete. - Remove any ambiguous or redundant instructions.