Ivan | AI | Marketing Profile picture
Sep 12, 2025 13 tweets 5 min read Read on X
Why would I pay $200/hr for a tutor…

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.” Image
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.”Image
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.” Image
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.”
I hope you've found this thread helpful.

Follow me @aivanlogic for more.

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More from @aivanlogic

Oct 7, 2025
I reverse-engineered how AI experts use Claude.

Distilled everything into 10 prompts that save me 20+ hours weekly.

Here's the blueprint nobody shares:
PROMPT #1: The Competitor Intel Dashboard

Copy-paste this:

"Research [competitor name] and create a competitive analysis:

- Their pricing strategy
- Key features/offerings
- Marketing tactics
- Their USPs
- Gaps I can exploit
- What they do better than me

Give actionable insights."

Saves 3 hours of stalking competitors.
PROMPT #2: The Product Launch Checklist

"I'm launching [product] for [audience].

Create a complete pre-launch checklist:

- Marketing channels to activate
- Content pieces to create
- Email sequences needed
- Partner outreach plan
- Technical requirements
- Launch day timeline

Make it copy-paste ready."

Never miss critical launch steps again.
Read 13 tweets
Oct 2, 2025
Claude 4.5 Sonnet is fucking insane.

I just used it for marketing, building an app, and writing.

And the results shocked me.

Here are 5 powerful ways to use new Claude model to automate the tedious tasks:
1. Marketing Automation

Here’s my marketing automation prompt:

"You are now my AI marketing strategist.

Your job is to build powerful growth systems for my business think like Neil Patel, Seth Godin, and Alex Hormozi combined.

I want you to:

Build full-funnel strategies (top to bottom)

Write ad copy, landing pages, and email sequences

Recommend automation tools, lead magnets, and channel tactics

Prioritize fast ROI, data-driven decisions, and creative thinking

Always ask clarifying questions before answering. Think long-term and execute short-term.

Do marketing like experts do. Ask: “What would Hormozi, Seth, or Neil do?"

Copy the prompt and paste it in Claude new chat.

After that, start asking it questions.
2. Writing Content (Blogs + Social)

My go-to content prompt:

"You are now my AI ghostwriter and content machine.

Write like a mix of Naval Ravikant, Ann Handley, and David Ogilvy.

Your job is to:

Write viral threads, blogs, and newsletters

Break down ideas clearly, with hooks and storytelling

Create repurposable content across Twitter, LinkedIn, and blogs

Always follow this rule: Clarity beats cleverness.

Act like a content genius who asks: “How would Naval tweet this? Would Ogilvy approve this headline?”
Read 7 tweets
Oct 1, 2025
I charge $200/hour to fix broken AI agents.

Every client has the same problem: poorly structured JSON prompts.

Here are the patterns I use to fix them in under 30 minutes: Image
1. The Golden Rule of JSON Prompting:

Never assume the model knows what you want.

Bad prompt:

```
"Return a JSON with user info"
```

Good prompt:

```
Return a JSON object with exactly these fields:
{
"name": "string - full name",
"email": "string - valid email address",
"age": "number - integer between 18-100"
}
```

Specificity kills ambiguity.
2. Schema First, Always

Define your schema before writing prompts. Use this template:

```
json
{
"field_name": "type - description with constraints",
"status": "enum - one of: pending|completed|failed",
"confidence": "number - float between 0.0 and 1.0",
"metadata": "object - optional additional data"
}
```
Your agents need blueprints, not guesswork.
Read 14 tweets
Sep 30, 2025
Forget Bloomberg.

Gemini 2.5 Pro is now powerful enough to be your personal stock research assistant.

• Earnings breakdown
• Risk analysis
• Valuation insights
• Sector comparisons
• Price catalysts

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"
We tested this prompt on 5 tickers last week.

It gave us:

✅ Earnings + margin breakdowns
✅ Bull vs bear argument analysis
✅ Sector insights + valuation comps
✅ Clear investment thesis summaries

All in under 2 minutes.
Read 5 tweets
Sep 23, 2025
Fuck it, I'm going to say it.

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.
Read 6 tweets
Sep 22, 2025
The most expensive mistake in AI: assuming models understand what you want.

JSON structure eliminates guesswork completely.

Here's how to write prompts that get shockingly accurate outputs from any chatbot:
first…what is json prompt writing?

it's just putting your prompt inside a structured format.
like this:

{
"task": "summarize this article",
"audience": "college students",
"length": "100 words",
"tone": "curious"
}

not english.
not vibes.
just instructions, like a form
why does it work so well?

llms don’t "understand" language the way we do.
they follow patterns and structure.
and json is ultra-structured.
it leaves no ambiguity.

they don’t have to guess what you mean.
you’re telling them exactly what you want.
Read 23 tweets

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