---
type: source
title: "ChatGPT Teaches the Secrets to Financial Freedom!?"
description: "You can turn any popular book's author into a personalized coach by giving ChatGPT the book's philosophy plus your full life context, then asking for a concrete tailored plan."
youtube_id: OLJ9FYd9H1Y
url: https://www.youtube.com/watch?v=OLJ9FYd9H1Y
slug: chatgpt-teaches-the-secrets-to-financial-freedom
published: 2023-06-18
duration: "0:14:50"
recency_rank: 192
raw: "../raw/chatgpt-teaches-the-secrets-to-financial-freedom.md"
tags: [prompt-engineering, context-engineering, chatgpt, use-case]
created: 2026-07-21
updated: 2026-07-21
---

# ChatGPT Teaches the Secrets to Financial Freedom!?

In this early (2023) ChatGPT-prompting video, Cole demonstrates a technique for getting personalized financial advice from GPT-4: take a well-known book (here, Rich Dad Poor Dad) and prompt the model to act as a financial advisor who follows that book's author. Because GPT is already trained on popular finance books, you only need to name the book and add a sentence of framing for the model to adopt its philosophy. This solves the core limitation of books, that generic advice is never tailored to your unique situation.

The prompt is built as a three-step structure. First, establish context: the book or author whose advice you want to follow. Second, dump your full personal situation, including age, location, profession, income, expenses, living situation, current investments, skills, assets, and life goals, so the advice is personalized to you. Third, deliver the "ask": request concrete deliverables like a 1/5/10/20/30-year plan plus practical starting points and action steps, and instruct the model to give its opinion directly rather than hedging about subjectivity.

Cole walks through GPT's generated multi-horizon plan (monetizing digital real estate, building an emergency fund, diversifying into real estate per Kiyosaki's philosophy, learning sales, marketing, and tax skills) and shows how you can drill down on any part with follow-up prompts. He frames this as more powerful than robo-advisors like Vanguard's because you can feed the model exactly the context you think it needs.

## Concepts covered

- [Context Engineering](../concepts/context-engineering.md)
- [The LLM Wiki](../concepts/the-llm-wiki.md)
- [Prompt Engineering](../concepts/prompt-engineering.md)
- [Fine-Tuning](../concepts/fine-tuning.md)
- [Clarifying Questions](../concepts/clarifying-questions.md)

## Entities

- [ChatGPT](../entities/tools/chatgpt.md)
- [OpenAI](../entities/organizations/openai.md)
- [Cole Medin](../entities/people/cole-medin.md)

## Key moments

- **[0:00:00]** Framing: books give great financial advice but aren't personalized to your unique situation
- **[0:00:23]** The core idea: turn a book's author (e.g., Rich Dad Poor Dad) into your personal finance coach via GPT
- **[0:01:44]** Prompt part 1: set the model as a financial advisor following a chosen book/author, add a sentence of context
- **[0:02:29]** GPT already knows popular finance books from training, so minimal book context is needed
- **[0:02:44]** Prompt part 2: supply full personal context (age, location, profession, income, expenses, investments, skills, assets, goals)
- **[0:06:32]** Prompt part 3: the ask, request 1/5/10/20/30-year plans plus starting points and action steps, tell it to opine directly
- **[0:08:52]** Walkthrough of GPT's multi-horizon plan (monetize digital real estate, emergency fund, real estate, skills, taxes)
- **[0:12:07]** Drill down with follow-up prompts on any part (e.g., real estate investing or monetizing the Twitter account)
- **[0:13:40]** Recap of the three-step process: book context, your info, the ask

## Transcript

[Raw transcript](../raw/chatgpt-teaches-the-secrets-to-financial-freedom.md)
