when ChatGPT roasts my wrong answers for free at 2AM?
Here’s the workflow (steal the 10 prompts below):
10/10 would bookmark this:
Step 1: Get the lay of the land.
Before diving deep, you need the big picture. Otherwise you’ll drown in random details.
Prompt:
“Explain [topic] to me like I’m a complete beginner. Create a 30-day roadmap that goes from basics to advanced, including resources, checkpoints, and goals.”
Step 2: Match learning to your style.
Most people fail because they learn in ways that don’t suit them. LLMs can adapt instantly.
Prompt:
“I learn best through [examples/visuals/practice]. Teach me [topic] using this style, and suggest activities I can do daily to reinforce it.”
Step 3: Break the subject into chunks.
Your brain doesn’t learn massive topics all at once; you need bite-sized steps.
Prompt:
“Divide [topic] into 10 essential subtopics. For each one, explain what I need to master, the order I should learn them in, and why that order matters.”
Step 4: Build active recall questions.
Reading ≠ Learning. The real test is whether you can remember and apply it.
Prompt:
“Make me 20 flashcards (question & answer) for the beginner level of [topic]. Also, suggest a spaced repetition schedule for reviewing them.”
Step 5: Get real-world examples.
Your brain locks onto information when it’s tied to reality. No examples = nothing sticks.
Prompt:
“Give me 5 real-world examples of how [topic] shows up in everyday life, work, or history. Explain them in plain English with practical details.”
Step 6: Simulate a teacher.
Don’t just passively consume. Let the LLM act like your personal professor who pushes you.
Prompt:
“Act as a professor of [topic]. Explain [concept] clearly. Then quiz me with 5 progressively harder questions until I can explain it back to you.”
Step 7: Use the Feynman Technique.
If you can’t explain it simply, you don’t understand it. LLMs make this easy to practice.
Prompt:
“Explain [concept] in [topic] as if I’m 12 years old. Then point out gaps in my understanding and give me hints until I can explain it smoothly.”
Step 8: Generate practice exercises.
Knowledge without practice fades fast. Exercises turn concepts into skills.
Prompt:
“Give me 10 beginner practice problems in [topic] with step-by-step solutions. After each solution, explain the common mistakes people make.”
Step 9: Move into Intermediate Depth.
Once you’ve got the basics, don’t get stuck there. The jump to intermediate is where things click.
Prompt:
“What are the 5 most important intermediate skills in [topic]? For each, give me exercises, case studies, and recommended resources to practice.”
Step 10: Simulate a debate or discussion.
Learning isn’t just knowing facts; it’s being able to defend and argue your perspective.
Prompt:
“Play devil’s advocate. Challenge my understanding of [topic] by asking tough questions and highlighting weak spots in my reasoning.”
Bonus step: stay accountable.
The #1 reason people fail to learn something new? They quit. LLMs can keep you on track.
Prompt:
“Create a weekly learning plan for [topic]. Include clear goals, checkpoints, self-assessment tasks, and motivational reminders to keep me consistent.”
Here's the exact mega prompt we use for stock research and investments:
The mega prompt:
Just copy + paste it into Gemini 2.5 Pro and plug in your stock.
Steal it:
"
ROLE:
Act as an elite equity research analyst at a top-tier investment fund.
Your task is to analyze a company using both fundamental and macroeconomic perspectives. Structure your response according to the framework below.
Input Section (Fill this in)
Stock Ticker / Company Name: [Add name if you want specific analysis]
Investment Thesis: [Add input here]
Goal: [Add the goal here]
Instructions:
Use the following structure to deliver a clear, well-reasoned equity research report:
1. Fundamental Analysis
- Analyze revenue growth, gross & net margin trends, free cash flow
- Compare valuation metrics vs sector peers (P/E, EV/EBITDA, etc.)
- Review insider ownership and recent insider trades
2. Thesis Validation
- Present 3 arguments supporting the thesis
- Highlight 2 counter-arguments or key risks
- Provide a final **verdict**: Bullish / Bearish / Neutral with justification
3. Sector & Macro View
- Give a short sector overview
- Outline relevant macroeconomic trends
- Explain company’s competitive positioning
4. Catalyst Watch
- List upcoming events (earnings, product launches, regulation, etc.)
- Identify both **short-term** and **long-term** catalysts
5. Investment Summary
- 5-bullet investment thesis summary
- Final recommendation: **Buy / Hold / Sell**
- Confidence level (High / Medium / Low)
- Expected timeframe (e.g. 6–12 months)
✅ Formatting Requirements
- Use **markdown**
- Use **bullet points** where appropriate
- Be **concise, professional, and insight-driven**
- Do **not** explain your process just deliver the analysis"
The consulting industry is the biggest intellectual scam in business.
I just saved my company $180K by doing BCG's work with ChatGPT in one weekend.
Here's exactly how I did it (with prompts):
The 5 research methods that replace expensive consultants:
1. Consumer Persona Development
"Act as a market researcher. Create detailed buyer personas for [product/service] targeting [demographic]. Include motivations, pain points, buying behaviors, and communication preferences."
2. Competitive Analysis
"Analyze the competitive landscape for [industry/product]. Identify top 5 competitors, their positioning, pricing, strengths, weaknesses, and market gaps."
3. Market Sizing
"Estimate the total addressable market for [product/service] in [geography]. Break down by segments, growth rates, and key drivers."
4. Consumer Journey Mapping
"Map the customer journey for [persona] purchasing [product]. Include awareness, consideration, purchase stages and friction points."
5. Survey Design
"Design a market research survey for [objective]. Create 15-20 questions with demographic screeners and bias-free formatting."
Real example that shocked me:
Traditional firm: $40K for SaaS analysis, 8 weeks, obvious insights
My LLM approach: 2 days, comprehensive TAM calculations, competitive maps, customer personas, go-to-market strategy.
Plus I identified 3 market opportunities they completely missed.