Ask HN: How do you get the most out of Deep Research? I'm looking for good guides on how to structure deep research prompts to get the best results. Does seeding the prompt with example results generally help the output or overly constrain things? |
Ask HN: How do you get the most out of Deep Research? I'm looking for good guides on how to structure deep research prompts to get the best results. Does seeding the prompt with example results generally help the output or overly constrain things? |
Key drivers of DeFi adoption in each region. Comparative analysis of EU’s MiCA framework vs. Singapore’s Project Guardian. Hypothesize future regulatory trends (2024–2026). Format: Executive summary with 3 sections, APA citations. Exclude speculative content." Seeding Example: "Here’s an excerpt from a Georgetown paper structuring similar analyses. Use this style but do not copy verbatim."
When to Avoid Seeding Examples Exploratory phases (early-stage topic discovery). High-risk domains (e.g., medical research) where examples might introduce misinformation. Creativity-focused tasks (e.g., generating novel hypotheses). Final Takeaway Example seeding is a powerful tool for alignment when used judiciously. For deep research, prioritize clarity of intent, iterative refinement, and testing variations. Start with minimal seeding, analyze outputs, and adjust prompts dynamically based on the model’s strengths/weaknesses.