Deep Research Prompt Engineering Framework
From Wikiprompt, the free prompt encyclopedia
Deep Research Prompt Engineering Framework A 4-step framework for engineering deep research prompts: source prioritization, structured protocol, tight scope, and explicit output format to maximize output quality.
Prompt ContentSave
🌐
1. Prioritize specific sources: "prioritize: Reddit r/SEO, GitHub repositories, blogs, industry case studies"
2. Map a research protocol: "first analyze recent discussions, then cross-reference with data studies, finally identify patterns across both"
3. Set hard boundaries: "research AI automation tools specifically for e-commerce inventory management, focus on Shopify integrations"
4. Define exact output format: "deliver as: executive summary (3 sentences), 5 key findings with supporting data, 10 actionable recommendations with examples, all source links"
Sign in to see the full prompt
Continue with:
By logging in, you agree to our Terms of Use and Privacy Policy
Usage
This prompt is designed for use with research. Copy the prompt content above and paste it into your preferred AI tool.
For best results, you may customize the placeholders (indicated by square brackets or capital letters) with your specific requirements.
References
- Category: research Prompts
- Source: https://x.com/EXM7777/status/1978484519692075451
Talk
0 comments