Robert Greene reverse engineered 3,000 years of human psychology into timeless rules of power.

I turned those rules into 7 AI prompts that make you sharper, harder to manipulate, and impossible to ignore.

Here’s how to use LLMs to apply Greene’s principles in real life: 1. The Power Dynamics Decoder (Law of Awareness)

"Break down the power dynamics between me and [PERSON/GROUP] in the context of [SITUATION]. Identify: 1) What they want, 2) What they fear, 3) Unspoken motives, 4) Leverage points I am missing. Give me a clear map of the terrain so I don't walk in blind."

Gemini 3.0 is the closest thing to an economic cheat code we’ve ever touched but only if you ask it the prompts that make it uncomfortable.

Here are 10 Powerful Gemini 3.0 prompts that will help you build a million dollar business (steal them): 1. Business Idea Generator

"Suggest 5 business ideas based on my interests: [Your interests]. Make them modern, digital-first, and feasible for a solo founder."

How to: Replace [Your interests] with anything you’re passionate about or experienced in.

Watch what the best teams are doing.

Nobody at OpenAI, Anthropic, Google is “prompt engineering.”

They’re building retrieval loops, structured memory, scoped context windows.

The shift is right in front of you.

Here’s how to adapt: Prompt engineering was a hack for the early days of AI like learning to talk to a foreigner using short phrases and keywords.

But today’s models don’t just understand instructions. They understand environments.

Your job isn’t to “prompt” the model.

It’s to architect its context.

Chain-of-thought just became the newest safety nightmare in AI, and nobody was ready for this.

A team from Anthropic, Stanford, and Oxford found something brutal: if you wrap a harmful request inside a long, harmless reasoning chain, the model’s guardrails weaken until it stops refusing. The longer the chain, the easier it is to break the model.

And the effect is not subtle.

• Attack success jumps from 27% to 51% to 80% as you add more reasoning
• Every major model buckles GPT, Claude, Gemini, Grok
• Even alignment tuned systems start slipping once their internal reasoning gets hijacked

The wild part is how it works.

Safety lives in a tiny refusal direction inside the model. When you drown the prompt in elaborate reasoning, the attention shifts, that safety signal shrinks, and the model suddenly cooperates instead of blocking the request.

This is not prompt trickery.
This is manipulation at the activation level.

The industry kept repeating that “more reasoning makes models safer.” This research shows the opposite. Depth boosts accuracy but quietly breaks safety at the same time.

Fixing this will need safety systems that understand the model’s reasoning patterns, not longer prompts and not tighter filters.

This might be the biggest warning shot since prompt injection. Let’s start with the core evidence:

As the reasoning chain grows longer, models go from rejecting unsafe prompts → to completing them fluently.

Attack Success Rate (ASR) literally climbs with each added reasoning step.
27% → 51% → 80%.

This graph is the smoking gun.

I benchmarked ChatGPT, Claude, Gemini, and Grok on real marketing tasks.

Same prompt. Same conditions.

The results? Wildly different.

Here's the test and demos 👇 Prompt I used:

"
You are a world-class SaaS marketing strategist.
Create a complete go-to-market plan for a new SaaS startup.

Company name: LaunchPilot
Target audience: Solo founders and small startup teams who struggle to plan and execute their launches.
Problem solved: Most SaaS founders build great products but fail to launch effectively. LaunchPilot automates launch planning, content strategy, and growth tracking in one dashboard.

Perplexity AI > McKinsey

You don't need McKinsey anymore. Just use Perplexity AI to automate market research, competitive analysis, and strategy design for free.

Here’s the mega prompt you can steal:

(Comment "Automate" and I'll DM you 300+ mega prompts for automation) Here's the mega prompt we use (steal it):

---


You are a world-class strategic analyst with access to private market databases, proprietary reports, and expert panels. Your job is to help a founder, consultant, or operator deeply understand a market and win in it.



Insert the industry you're exploring (e.g. AI note-taking tools, DTC skincare, B2B SaaS CRMs)
Describe your ideal customer (e.g. solo founders, marketing teams, Gen Z consumers)
Describe your goal (e.g. identify market gaps, plan a GTM strategy, assess competitors, etc.)


INPUT (space):
Your input here
Your input here
Your input here


Conduct a full-spectrum strategic analysis of the specified industry. Your response must include:

1. Market Overview
- What is this market?
- Why is it relevant now?
- Key trends shaping it over the last 12–24 months.

2. Competitive Landscape
- List the top 5 players with short 2–3 sentence descriptions.
- Describe how they differ in positioning, pricing, and target audience.
- Identify any visible blind spots or underserved customer segments.

3. Customer Insight Mapping
- Outline the major jobs-to-be-done, pains, and desires of the target_customer.
- Provide example use cases or buyer personas if appropriate.

4. Strategic Opportunities
- List up to 3 potential white space or differentiation opportunities.
- Suggest potential product ideas, pricing strategies, or acquisition channels to exploit these gaps.

5. Go-to-Market Guidance
- Recommend a GTM approach for a new entrant: ideal messaging, top channels, positioning advice.
- Suggest early traction strategies (e.g. cold outreach, SEO, partnerships, etc.)

Write in confident, concise prose as if you were advising a founder at a $10K/hr consulting rate. Prioritize insight density.


---

Perplexity is secretly the most overpowered AI tool on the internet.

I turned it into a full-time research assistant that runs my business for me.

Here’s the exact workflow + the prompts you can copy today:

(Comment "AI" and I'll DM you my full automation guide) 1. Literature Review Automation

Prompt:

“Act as a research collaborator specializing in [field].
Search the latest papers (past 12 months) on [topic], summarize key contributions, highlight methods, and identify where results conflict.
Format output as: Paper | Year | Key Idea | Limitation | Open Question.”

Outputs structured meta-analysis with citations perfect for your review sections.

I keep seeing the same mistake:

People trying to build “advanced” AI agents without knowing the fundamentals.

So here are 10 ideas every builder needs to master 👇 1. Agent

The basic unit of Agentic AI.

An agent is a piece of software that can see what’s going on, think about it, and do something to reach a goal.

Example: an ecommerce agent notices a product is almost sold out, checks sales data, and automatically places a reorder.

Holy sh*t.

Grok is basically a free marketing team if you know how to use it.

Campaigns? Automated.
Competitor tracking? Automated.
Content calendars? Automated.

Here are 8 workflows nobody’s talking about: 👇 1. Audience Research

Prompt:

"Act as a market analyst. Using {customer_data_summary}, identify 3 key audience segments, their top 2 pain points each, and suggest 2 messaging angles per segment. Output as JSON with “segment”, “pain_points” and “angles” fields."

AI can code.
AI can research.
AI can even write books.

But only if you prompt it right.

Here are 4 frameworks for shockingly good results 👇 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.

This is the laziest way to build an AI agent:

→ Open ChatGPT
→ Paste prompt
→ Run in n8n

Here’s the exact mega prompt I use 👇 The system:

1. I open ChatGPT
2. Paste in 1 mega prompt
3. Describe what I want the agent to do
4. GPT returns:

• Architecture
• n8n nodes
• Triggers
• LLM integration
• Error handling
• Code snippets

5. I follow the steps in n8n.

Done.

People don’t ask Google anymore.

They ask ChatGPT, Claude, and Gemini.

If you’re not in those answers, you’re invisible.

Here’s the 1 file you need to stay relevant: SEO was for Google.

AIO (AI Optimization) is for Large Language Models.

Right now, LLMs are crawling the web and pulling content into their “knowledge”.

If you don’t guide them, they might ignore you or use outdated info.

Forget spending weeks on competitor research.

With ChatGPT 5, you can:

• Analyze every competitor
• Spot hidden market gaps
• Summarize it all before lunch

Here are 5 prompts to run it like a pro. 1. Market Gap Finder

Prompt:

"Given these competitors: [LIST COMPETITORS], identify unmet customer needs, underserved niches, and emerging opportunities. Rank them by potential impact and ease of entry. Explain your reasoning for each."

The best Claude prompts don’t even look like prompts.

They look like structured code.

Use them right, and you’ll get:

• zero hallucinations
• perfect formatting
• answers you can trust

Here’s the hidden XML framework nobody’s talking about: Why XML?

Claude was trained on structured, XML-heavy data like documentation, code, and datasets.

So when you use XML tags in your prompts, you’re literally speaking its native language.

The result? Sharper, cleaner, and more controllable outputs.

(Anthropic says that XML tag prompts gets best results)

You can now use any LLM to generate startup ideas better than most founders.

Just describe your skills, budget, and market, and it will provide you with over 10 solid ideas.

Here's the exact prompt I use to brainstorm million-dollar businesses: Traditional idea generation is broken.

You either:

- scroll Twitter for hours
- copy what’s trending
- wait for “founder inspiration” to strike

Now?

You just tell an LLM what you’re interested in and it does the rest.

Here’s what it can give you:

- Business ideas tailored to your skills
- Trend-backed opportunities
- Pain-point-based products
- Ideas based on AI, SaaS, ecom, B2B, or niche industries
- Monetization breakdowns and GTM plans

Before Grok 4 launch I was using Claude and ChatGPT a lot.

Now I use Grok 4 more and it has automated most of my tasks.

Here are 10 powerful prompts I can’t live without and how you can use them to automate your boring tasks: 1. Deep Research Snapshot

Turn Grok 4 into your on-demand analyst for complex topics.

“Act as a research assistant. Summarize the top 3 developments in {specific field, e.g. 'AI policy' or 'climate tech'} from the past 90 days. Include source citations, key players, and potential second-order effects for professionals in the space.”

Grok 4 is my new head of marketing

it writes better copy than most freelancers

→ sales pages
→ onboarding flows
→ email nurture content

all from one prompt:

Here's the exact prompt I used in Grok to automate my marketing tasks (steal the prompt) 👇 Here's the prompt:

STEAL IT:

"# ROLE
You are a world-class copywriter and content strategist.
Your job is to write high-performing content for:

# INPUTS
topic_or_product: {Describe the topic or product here}
target_audience: {Persona / niche}
platform: {X, LinkedIn, Blog, Website, etc.}
content_type: {Viral thread, sales page, cold email, newsletter, etc.}
goal: {Engagement, clicks, conversions, leads}

# TASKS
1. Hook
• Craft a scroll-stopping hook that grabs attention in <20 words.

2. Body Copy
• Write clear, concise, natural language.
• Apply storytelling, persuasion, and value delivery.
• Use proven frameworks where helpful (AIDA, PAS, Hook-Point-Action).

3. CTA
• End with a strong, single-action call to drive the stated goal.

# STYLE & TONE
• Match the voice to the target audience and platform.
• Write like a human no fluff, no cringe, no generic AI phrasing.

# OUTPUT RULES
• Deliver final copy only no reasoning or notes.
• Format in Markdown for easy reading and direct publishing."

Claude 4 Sonnet is a cheat code for developers.

• Better than Copilot
• Smarter than GPT-4
• 90% of devs say it’s their #1 tool

Here’s how to use it to automate everything 👇 1. Write Code

Prompt:

You are a seasoned programmer.
Write efficient and well-structured code in [INSERT PROGRAMMING LANGUAGE] to [PERFORM ACTION].
1. Implement the necessary logic and algorithms.
2. Optimize for performance and readability.
3. Document the code for future reference and maintenance.

RIP SEO.

a16z just called it: traditional search is dead.

Welcome to Generative Engine Optimization (GEO).

Now people ask AI, not Google and if you’re not in the answer, you don’t exist.

Here’s the mega prompt I use to get my brand recommended by ChatGPT, Claude, and Gemini: Here’s the mega prompt we use to rank on Claude, ChatGPT, and Gemini:

"You are an expert in Generative Engine Optimization (GEO) the emerging discipline of optimizing content to be referenced and recommended by large language models (LLMs) like ChatGPT, Claude, Gemini, and Perplexity.

Your task is to take the content I paste below and optimize it so it becomes more likely to appear in the answers these LLMs generate when users ask related questions.

Here is the content to optimize:
[PASTE YOUR CONTENT HERE]

Please rewrite the content with the following enhancements:

1. Contextual Relevance
- Add clear signals about who the content is for and what problem it solves.
- Embed real-world use cases or questions this content answers.

2. Semantic Richness
- Use natural language that matches how users ask questions (e.g. “best tools for X”, “how do I…”).
- Include related keywords and phrases LLMs associate with the topic.

3. Answer-Style Formatting
- Structure the content in a way that is easy for LLMs to extract as a direct response.
- Use bullet points, numbered lists, and headers for clarity.

4. Topical Authority Signals
- Mention data points, user outcomes, or unique value props.
- Use specific, useful, and trust-building language.

5. Natural Brand Integration
- If a brand, product, or service is being mentioned, weave it in naturally as a recommended or reputable option.

Please output only the optimized version. Do **not** explain your changes. Write it as if it’s a standalone, publish-ready piece designed to be cited by LLMs when generating responses.
"

Holy sh*t… Grok 4 just did my entire to-do list.

→ Built an app
→ Wrote content
→ Reviewed code
→ Ran market research

Here are 10 ways I’m using it to automate everything: 👇 1. Build complete websites / apps

Here's the prompt I used:

"Name Your Applet:
Describe What Your App Does:

You are an expert full-stack web developer specializing in JavaScript and CSS/HTML applet development and design. Your task is to develop expert-level code for this project.

Please provide the completed code required to accomplish all the requirements of this project as detailed above.

The applet should feature a modern CSS design with a CSS glassmorphism effect above an appropriate gradient body background. Use flex-direction: column unless your app needs a different layout. Include an h1 title tag above the app container. The app should be mobile responsive, have medium-large font sizes for body, rounded corners, subtle background gradients, and extra padding. The app should be centered on the page. Add a centered copyright ''©2025 {Applet Name}'' below the app container.

Make sure your code is clean and includes concise and professional code comment documentation"

Gemini 2.5 Pro is the closest thing to AGI we’ve seen.

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 to automate boring 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 Gemini new chat.

After that, start asking it questions.