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.

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.

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: 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.

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"

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."

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

I'm gonna lose my mind.

I just found 3 prompts that you can use to build complete AI agents from scratch.

Steal them 👇 PROMPT 1: The Blueprint Maker

"I want to build an AI agent that [your specific goal]. Using N8N as the workflow engine and Claude as the AI brain, give me:

- Exact workflow structure
- Required nodes and connections
- API endpoints I'll need
- Data flow between each step
- Potential failure points and how to handle them

Be specific. No generic advice."

If you still think AI is about “which model is best”... you’re already behind.

MCP is where the real builders play.

Here are 7 uses that change everything 👇 1. GitMCP - Git Integration for AI Agents

Repos become natively accessible to AI.

✅ Browse branches, commits & PRs
✅ Auto-generate code reviews
✅ Context-aware documentation

Your AI agent finally understands project history.

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.”

RIP Copywriters.

You don’t need to pay $1,000 for a landing page.

You can now use any LLM to write high-converting copy for paid ads, Landing pages and more.

Here’s how to replace your copy team with 1 mega prompt: Prompt I used:

(Steal it)

1. Full Funnel Copy System (Landing + Ads + Emails)


You are a world-class direct response copywriter trained in high-converting frameworks like AIDA, PAS, and 4Ps. Write conversion-optimized copy for a [product_type] targeting [target_audience]. Match the brand’s tone and speak directly to the emotional triggers of the customer. Assume this is a cold audience.



[e.g. AI course for solopreneurs]
[e.g. freelancers, creators, or bootstrapped SaaS founders]
[e.g. confident, smart, casual, anti-hype]
[e.g. Build and sell AI products without code]
[e.g. 10 modules, templates, private community, no-code tools]



Write the following assets, tailored for cold traffic:

1. Landing Page Copy
- Headline + subheadline
- Hero section (benefits over features)
- 3-part value stack
- Social proof (quotes, imagined testimonials)
- Objection busters (with emotional triggers)
- Final CTA section with urgency

2. Facebook Ad Variants (x3)
- Hook → Problem → Solution → CTA
- 1 visual concept idea for each

3. Email Drip Sequence (x3)
- Welcome email (build curiosity)
- Value email (teach + preview product)
- CTA email (urgency + conversion)

Use persuasive copy principles, emotional hooks, and concise formatting. Write everything in a clean, skimmable style. Avoid fluff.

The IRS won’t like this.

Here’s the prompt that makes AI handle your personal + business taxes (legally): 90% people use ChatGPT to write emails, social media sloppy content etc.

Meanwhile, I use it to organize my entire tax prep process.

It won’t file for you. But it will save you:

→ Stress
→ Money
→ Missed deductions
→ Hours of back-and-forth with your accountant

Gemini 2.5 Pro is terrifyingly good.

But most people are sleeping on what it can actually do.

I’ve used it to build apps, generate content, automate deep research, and more.

Here are 5 ways to use Gemini 2.5 Pro that feel like cheating: 1. Builder

“Act as a product builder. Create a step-by-step blueprint for launching [IDEA]. Include required skills, tools, cost/time estimates, and MVP version. Output in a structured roadmap format.”

Gemini gives you the startup roadmap most founders never get.

Holy sh*t… Gemini just killed online courses.

Their new 'Guided Learning' mode = AI tutor that:

→ Teaches concepts
→ Quizzes you
→ Checks understanding

Here’s how to use it for free: 1. How to get in:

• Go to
• Start a new chat
• Choose Guided Learning
• Ask a question or upload a PDF/notes
• Turn them into a lesson with practice. gemini.google.com

Holy sh*t… once you learn advanced prompting, ChatGPT/Grok/Gemini feel like completely different AIs.

Here are 10 pro-level techniques (with templates) you can steal today: 1. Role Assignment → Get Expert-Level Responses

Instead of asking: “Explain Bitcoin”
Ask:

👉 “You are a Stanford economics professor. Explain Bitcoin as if I’m a 12-year-old, then again as if I’m a hedge fund manager.”

Prompt:

You are [role]. Explain [topic] for [audience 1], then for [audience 2].

Holy sh*t… I just automated YouTube with Claude.

1 prompt → full content engine:

• 10 video topics
• Viral titles
• Full script
• Thumbnail breakdown

Here’s the exact framework: The mega prompt (steal it):

"

You are my entire YouTube content creation team in one — strategist, creative director, scriptwriter, SEO expert, and thumbnail designer.



Create a full YouTube content package around the following topic: {$TOPIC}



1. 5 viral, curiosity-driven video title options
2. MrBeast-style thumbnail concept with strong visual tension
3. Full video script using proven YouTube pacing (hook, conflict, resolution, CTA)
4. Optimized YouTube description with strong SEO keywords, value summary, and clear CTAs
5. Relevant hashtags and keyword tags for ranking



Adapt the tone, pacing, and structure to best suit the following content format: {$FORMAT}



Think like a YouTube growth strategist. Optimize for retention, engagement, and shareability. Make sure the hook is irresistible, the structure tight, and every element contributes to virality.


"

If you’re building AI systems in 2025, there are only two tools worth learning: LangGraph and n8n.

The choice you make here will define how far you can actually scale.

Here’s everything you need to know (and what nobody is telling you): Let’s get one thing clear:

LangGraph and n8n are not competitors in the usual sense.

They solve different problems.

But if you misunderstand their roles, you’ll cripple your AI stack before it even gets going.

Gemini 2.5 Pro is terrifyingly powerful.

But most users are stuck asking surface-level questions.

Here are 10 ways to actually use Gemini to automate your workflow: 1. Summarize long reports + PDFs like a top analyst

Skip 100+ pages in 10 seconds.

Mega Prompt:

"You are a senior analyst skilled in digesting technical and academic documents. Your task is to summarize the attached document into an executive briefing for a time-poor founder. Focus on extracting the most important findings, key data points, and strategic implications. Use simple language, bullet points, and bold headers. Avoid jargon. Format the output as a 1-page summary with a conclusion that includes suggested next steps or decisions."

You don’t need better AI.
You need better prompts.

Here are 4 frameworks that feel like unlocking a cheat code: Today, most people prompt like this:

“Write me a marketing plan for my product.”

And then they wonder why the result feels vague, boring, and unusable.

The problem isn’t AI.

It’s your approach.

Want to learn n8n fast?

This thread will teach you more in 10 minutes than most courses teach in 10 hours.

From confused beginner to building AI automations.

Start learning ↓ What is n8n?

n8n is an open-source automation tool that connects your apps, builds agentic workflows, and lets you host everything yourself.

Think Zapier, but with more power and zero vendor lock-in.

Ideal for devs, indie hackers, & AI builders.

n8n.io

🚨 BREAKING: Stanford, Google & DeepLearning AI just made their best AI courses free.

These could change your career in 30 days.

Here are 10 of them 👇 1. AI For Everyone by Andrew Ng

The most accessible course to understand AI.

→ AI strategy
→ Key terms
→ Real business use cases

coursera.org/learn/ai-for-e…

Forget Bloomberg.

Grok 4 is now powerful enough to be your personal stock research assistant.

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

Here’s an exact mega prompt we use for stock research and investments: The mega prompt:

Just copy + paste it into Grok 4 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"