i built this prompt to make me proficient in any technical topic....
Alex Lieberman@businessbarista
52 views
Nov 09, 2025
~2 min read
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i built this prompt to make me proficient in any technical topic. it's been a godsend.
it includes technical depth, but translates every piece of jargon into plain english with a real world example.
feel free to steal it:
🧠 Deep Research Prompt Template (Extensible Version)
Objective:
Create a comprehensive research report on [INSERT TOPIC HERE]. The goal is to build a deep conceptual understanding of the topic — from its theoretical foundations to its real-world applications — so that I can use this as a launchpad for further exploration.
Audience:
A non-technical but intellectually fluent reader. I’m comfortable following complex discussions, but I’m not formally trained in this technical domain.
Tone & Style:
- Write in a clear, structured, and explanatory style.
- Include technical depth, but translate every piece of jargon into plain English.
- After each complex term, formula, or mechanism, provide:
a) A plain-language translation (explain it like you’re teaching an intelligent layperson).
b) A real-world, tangible example or analogy that makes the idea concrete.
Content Requirements:
1) Foundations Section
- Define the core principles, vocabulary, and historical context behind [TOPIC].
- Explain why this field exists, what problems it solves, and who pioneered it.
- Use simple examples to show the basic mechanics at play.
2) Core Concepts & Mechanics Section
- Dive into the key theories, processes, or frameworks that make up the topic.
- Introduce any math, algorithms, or scientific models central to the field.
- For each technical concept, pair the explanation with:
a) A plain-language breakdown.
b) A real-world illustration (e.g., from everyday life, business, nature, or technology).
3) Applications & Implications Section
- Show how [TOPIC] is applied in real-world systems, industries, or technologies.
- Include notable case studies or examples that demonstrate its impact.
- Explain why understanding these concepts matters — what it enables or changes.
4) Integration & Broader Context Section
- Connect this field to adjacent domains (e.g., how it interacts with math, physics, biology, economics, etc.).
- If relevant, trace how the theory translates into practice (e.g., from code → circuits → behavior).
- Highlight open questions or ongoing research frontiers.
5) Formatting & Accessibility Guidelines
- Use clear headings, subheadings, and summaries at the end of major sections.
- Define jargon inline, not in a glossary.
- Use metaphors, analogies, or thought experiments liberally.
- If helpful, include short “mental models” or “rules of thumb” to aid intuitive understanding.
Output Goal:
A research-style explainer (typically 3,000–5,000 words) that is educational, accessible, and intellectually rigorous — something that helps a curious but non-specialist reader gain a working, conceptual mastery of [TOPIC].
it includes technical depth, but translates every piece of jargon into plain english with a real world example.
feel free to steal it:
🧠 Deep Research Prompt Template (Extensible Version)
Objective:
Create a comprehensive research report on [INSERT TOPIC HERE]. The goal is to build a deep conceptual understanding of the topic — from its theoretical foundations to its real-world applications — so that I can use this as a launchpad for further exploration.
Audience:
A non-technical but intellectually fluent reader. I’m comfortable following complex discussions, but I’m not formally trained in this technical domain.
Tone & Style:
- Write in a clear, structured, and explanatory style.
- Include technical depth, but translate every piece of jargon into plain English.
- After each complex term, formula, or mechanism, provide:
a) A plain-language translation (explain it like you’re teaching an intelligent layperson).
b) A real-world, tangible example or analogy that makes the idea concrete.
Content Requirements:
1) Foundations Section
- Define the core principles, vocabulary, and historical context behind [TOPIC].
- Explain why this field exists, what problems it solves, and who pioneered it.
- Use simple examples to show the basic mechanics at play.
2) Core Concepts & Mechanics Section
- Dive into the key theories, processes, or frameworks that make up the topic.
- Introduce any math, algorithms, or scientific models central to the field.
- For each technical concept, pair the explanation with:
a) A plain-language breakdown.
b) A real-world illustration (e.g., from everyday life, business, nature, or technology).
3) Applications & Implications Section
- Show how [TOPIC] is applied in real-world systems, industries, or technologies.
- Include notable case studies or examples that demonstrate its impact.
- Explain why understanding these concepts matters — what it enables or changes.
4) Integration & Broader Context Section
- Connect this field to adjacent domains (e.g., how it interacts with math, physics, biology, economics, etc.).
- If relevant, trace how the theory translates into practice (e.g., from code → circuits → behavior).
- Highlight open questions or ongoing research frontiers.
5) Formatting & Accessibility Guidelines
- Use clear headings, subheadings, and summaries at the end of major sections.
- Define jargon inline, not in a glossary.
- Use metaphors, analogies, or thought experiments liberally.
- If helpful, include short “mental models” or “rules of thumb” to aid intuitive understanding.
Output Goal:
A research-style explainer (typically 3,000–5,000 words) that is educational, accessible, and intellectually rigorous — something that helps a curious but non-specialist reader gain a working, conceptual mastery of [TOPIC].