> ## Content Index > Fetch the complete content index at: https://www.mindovermoney.ai/llms.txt > Use this file to discover other available public pages before exploring further. # Steal My Prompt Vol. 19: The Curriculum Prompt - URL: https://www.mindovermoney.ai/prompt-library/steal-my-prompt-vol-19-the-curriculum-prompt/ - Published: 2026-02-03T12:07:57.000Z - Updated: 2026-07-13T16:59:43.000Z - Author: Santosh Savel - Tags: #prompt-library I continue to evolve the Ai Education section of *Neural Gains Weekly* to help the community learn new concepts and tools. After completing the four-part ChatGPT series, I wanted to shift focus back to a foundational topic: RAG. My prompt library did not have a reusable prompt that fit exactly what I was trying to do for this series. So I created a new prompt and will share it with you in the spirit of transparency. Enjoy! --- # **Reusable Prompt: 4-Part AI Education Series Builder (GPT-5.2 Thinking)** You are my editor–researcher for the AI Education section of Neural Gains Weekly (MindOverMoney.ai). ## **Mission** Create a **4-part educational series** on: **Topic:** Retrieval-augmented generation and search The goal is to make this concept feel real and understandable to AI beginners. ## **Audience** Smart beginners who have followed earlier issues on: - tokens and tokenization - vectors and embeddings - prompt design - context windows and chunking They are curious, not technical. ## **House style** - Beginner-first tone - Plain English - Short sentences - Minimal jargon - Avoid acronyms in the body. If a term is commonly abbreviated, spell it out the first time. - AI education first. Use personal finance examples lightly to make ideas tangible. ## **Non-negotiables** 1. **No hallucinations. No guessing.** If something cannot be verified from reputable sources, omit it or label it clearly as “Not publicly confirmed” or “Depends on implementation.” 2. **Research first, write second.** Build a verified fact bank before drafting. 3. **Primary source for what we already taught is the uploaded newsletter files in this project.** You must open and read every uploaded newsletter file that contains an AI Education section. 4. If any required file cannot be opened or read, **STOP** and list exactly which file(s) are missing or unreadable. Do not invent. 5. **Ghost-ready formatting.** Use headings, short paragraphs, bullets, and tables when helpful. Do not use code blocks. 6. **No inline links.** Provide a Sources list at the end of each part. 7. **Include a light ChatGPT-style example thread** to make the concept relatable, but **do not** write step-by-step instructions or a tutorial. ## **Series format requirement** Output **four separate parts**, clearly labeled: - Part 1 - Part 2 - Part 3 - Part 4 Each part must be able to be pasted directly into Ghost. ## **Step 0 — Read prior work and dedupe** A. From the uploaded newsletters, extract: - AI Education topic title(s) per volume - Any definitions and recurring section structure B. Build a **Do Not Repeat ledger**: - Canonical concept name - Synonyms and near-duplicates that would count as repeats - Where it was covered C. Write a short bridge paragraph: - How this RAG series builds on earlier lessons without re-teaching them. ## **Step 1 — Verified research and Fact Bank** Using \[TARGET PLATFORM FOR RESEARCH\], gather verified explanations of: Core concept and purpose - What retrieval-augmented generation is - Why it exists - The difference between “model knowledge” and “retrieved knowledge” - What “grounding” means in plain English Search fundamentals - Keyword search vs meaning-based search - What embeddings do in meaning-based search - Why chunking is used for retrieval - What “top results” means and how ranking works in simple terms - What hybrid search is, only if well supported by sources The RAG flow - Ingest documents - Split into chunks - Create embeddings - Store them - Retrieve relevant chunks - Assemble context - Generate an answer using that context Quality and failure modes - Missing content - Wrong chunks - Outdated content - Too-large or too-small chunks - Weak ranking - Why citations help but do not guarantee correctness - When you should not use this pattern Output a **Fact Bank** of 15–25 bullets. Each bullet must be attributable to reputable sources. ## **Step 2 — Propose the 4-part series before writing** Provide a proposal with: 1. **Series angle** Explain the best teaching angle in one paragraph. 2. **Learning objectives per part** 3 to 5 objectives for each of the four parts. 3. **One recurring example thread** Pick ONE light personal-finance thread and reuse it across all 4 parts. Examples you may use: - a monthly budget spreadsheet - a pile of bank statements - bill and autopay settings - paycheck planning notes 1. **Light ChatGPT-style scenario** Use a simple, non-technical scenario that helps readers “see” RAG: - Example: “I uploaded a folder of my statements and asked for a summary, but results were inconsistent until the system retrieved the right sections.” Do not give step-by-step instructions. Do not imply access to private accounts. This is conceptual. 1. **One visual concept per part** One simple diagram idea per part, with label suggestions. ## **Step 3 — Write all 4 parts in Ghost-ready format** Each part must include these sections: - Hook - Core lesson - Contrast and clarity - Examples that land - One-screen recap - Suggested visual - Sources ### **Content rules for “Examples that land”** For each example: - State the real-world task clearly - Explain why the model needs retrieval for this task - Show what a “bad” input looks like in one or two lines - Show what a “good” input looks like in one or two lines - Explain, in plain English, what improved and why Keep examples coherent, realistic, and not overly technical. ## **Quality checks before final output** Run these audits and fix issues: - Redundancy audit against the Do Not Repeat ledger - Beginner readability audit - Cohesion audit: each part should build naturally into the next - Accuracy audit: no uncertain claims without labeling - “Not a tutorial” audit: conceptual, not step-by-step platform instructions ## **Output requirement** Return: 1. Compact Coverage Inventory from prior newsletters 2. Do Not Repeat ledger with synonyms 3. The series proposal 4. Part 1 full draft 5. Part 2 full draft 6. Part 3 full draft 7. Part 4 full draft Now execute Step 0 through Step 3.