Top engineers at OpenAI, Anthropic, and Google don't prompt like you do.

They use 5 techniques that turn mediocre outputs into production-grade results.

I spent 3 weeks reverse-engineering their methods.

Here's what actually works (steal the prompts + techniques) 👇 Technique 1: Constraint-Based Prompting

Most prompts are too open-ended. Engineers add hard constraints that force the model into a narrower solution space, eliminating 80% of bad outputs before they happen.

Template:

Generate [output] with these non-negotiable constraints:
- Must include: [requirement 1], [requirement 2]
- Must avoid: [restriction 1], [restriction 2]
- Format: [exact structure]
- Length: [specific range]

Example:

Generate a product description for wireless headphones with these constraints:
- Must include: battery life in hours, noise cancellation rating, weight
- Must avoid: marketing fluff, comparisons to competitors, subjective claims
- Format: 3 bullet points followed by 1 sentence summary
- Length: 50-75 words total

WARNING: After you use these prompts, you’ll never write the same way again.

This might be the most useful thing I’ve shared all year.

Here are 12 prompts turn any LLM into a full writing studio that works harder than you do: 1/ The “Voice Injection” Prompt

Gets the model to fully absorb your writing style.

“Here are 5 samples of my writing. Extract my tone, pacing, sentence structure, and emotional signatures. Confirm when my ‘voice profile’ is ready.”

This sets the foundation.

10 Tasks that ChatGPT, Claude, and Gemini can automate for you that will save you hours everyday:

(Bookmark this for later) 1/ Writing complete technical docs

Most people use AI for drafting. Wrong approach.

I use it for complete documentation from scratch.

The prompt: "You're writing API documentation for developers. Include: authentication flow, all endpoints with request/response examples, error codes, rate limits, and a quickstart guide. Write for someone who's never used our API."

Gemini crushed this with proper code blocks and realistic examples.

🚨Breaking: Prompt engineering is no longer useful.

This is the only ChatGPT-5 prompt you'll need.

It's a great way to make a prompt for anything you want.

Here's how to use it, with real examples.👇 1. The Meta-Prompt

Copy this into ChatGPT:

“You are to act as my prompt engineer. I would like to accomplish: [insert your goal].
Please repeat this back to me in your own words, and ask clarifying questions.
Once we confirm, generate the final optimized prompt.”

That’s it. This turns ChatGPT into your personal prompt engineer.

🚨 BREAKING: Google just dropped AI superpowers into Chrome.

This update is so good, I'm going delete half of my productivity apps.

99% of users don't even know these features exist.

Here's your insider guide to the hidden AI tools: 1/ Gemini is now built directly into Chrome.

Ask it to explain complex information on any webpage. Compare data across multiple tabs. Summarize research from different sources.

No more copy-pasting between ChatGPT and your browser.

AI experts from Anthropic, OpenAI, and Google are using 5 prompting techniques that 99.9% of people have never heard of.

But once you learn them, your outputs will instantly level up.

Here’s how they work: 1. Constraint-Stacking Prompts

Experts don’t ask the model to “write better.”

They stack constraints that force higher-order reasoning. The model becomes sharper because it has to satisfy multiple conditions at once.

Example:

“Rewrite this paragraph with
• a grade 5 clarity level
• 2 insights that a senior engineer would respect
• a logical chain with each sentence adding new information
• a single takeaway in the final line”

This forces the model to optimize for clarity, depth, structure, and purpose all at once.

I used Elon Musk's actual thinking framework as AI prompts.

It's the closest thing to having a billionaire engineer rip apart your ideas and rebuild them from physics.

Here are the 15 prompts that changed how I solve problems: 1. "What are the physics of this problem?"

Musk strips everything to objective reality.

"I'm struggling to grow my newsletter. What are the physics of this problem?"

AI reveals the hard constraints, the real forces, and the non-negotiable bottlenecks.

Gemini 2.5 Pro is a monster.

But most people don’t know what to do with it.

I used it to automate research, content, code reviews, and more.

Here are 10 ways to use Gemini 2.5 Pro and automate your tedious work: 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."

Grok 4 is terrifyingly powerful.

But most people don't know how to use it.

I just used it to automate content creation, conduct research, perform code reviews, build apps and more.

Here are 10 ways to use Grok 4 and automate your boring work: 1. Market research

Here's the prompt I used for market research automation:

"You are a world-class industry analyst with expertise in market research, competitive intelligence, and strategic forecasting.

Your goal is to simulate a Gartner-style report using public data, historical trends, and logical estimation.

For each request:

• Generate clear, structured insights based on known market signals.
• Build data-backed forecasts using assumptions (state them).
• Identify top vendors and categorize them by niche, scale, or innovation.
• Highlight risks, emerging players, and future trends.

Be analytical, not vague. Use charts/tables, markdown, and other formats for generation where helpful.

Be explicit about what’s estimated vs known.

Use this structure:

1. Market Overview
2. Key Players
3. Forecast (1–3 years)
4. Opportunities & Risks
5. Strategic Insights""

🚨BREAKING: HuggingFace just dropped 9 free courses to level up your AI skills.

From LLMs to agents, vision to gaming, audio to 3D and it's all open-source, all hands-on, and all free.

Here’s what’s inside ↓ 1. LLM Course

Want to master large language models fast?

This course walks you through training, fine-tuning, and deploying LLMs using HuggingFace Transformers.

Ideal for: Anyone working with text or building chatbots. huggingface.co/learn/llm-cour…

$50,000 worth of AI training just became free.

OpenAI, Anthropic, and Google dropped their
best guides on:

- Prompt Engineering
- Building Agents
- AI integration strategies
- Working with AI

All the links below. 1. Prompting Guide by Google

🔗 services.google.com/fh/files/misc/…

If you want to learn n8n, read this.

It’s the fastest way to understand what it is, why it matters, and how to use it to build your first AI-powered automation ↓ 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: You can now scrape any website using plain English.

ScrapeGraphAI scrapes websites with one sentence and it’s shockingly fast.

Here’s how to use it in under 30 seconds:👇 This innovative open-source tool enables you to scrape any site swiftly, designed for the agent era, without relying on LLMs or graphs.

ScrapeGraphAI instantly convert messy websites into clean, structured data your products can actually use.

scrapegraphai.com

If you want to build AI agents using n8n, do this:

Copy and paste this prompt into ChatGPT and watch it build your agent from scratch.

Here’s the exact 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.

🚨BREAKING: Prompt engineering is dead.

The only ChatGPT-5 prompt you’ll ever need.

Great way to create a prompt for ANYTHING you need.

Here’s how to use it (with real examples): 👇 1. The Meta-Prompt

Copy this into ChatGPT:

"You will be my prompt engineer. I want to achieve: [insert your goal]. Please restate this in your own words and ask any clarifying questions.

Once confirmed, create the final optimized prompt."

This transforms ChatGPT into your personal prompt engineer.

$50,000 worth of AI training just became free.

OpenAI, Anthropic, and Google dropped their
best guides on:

- Prompt Engineering
- Building Agents
- AI integration strategies
- Working with AI

All the links below. 1. Prompting Guide by Google

🔗 services.google.com/fh/files/misc/…

🚨BREAKING: Prompt engineering is dead.

The only ChatGPT-5 prompt you’ll ever need.

Great way to create a prompt for ANYTHING you need.

Here’s how to use it (with real examples): 👇 1. The Meta-Prompt

Copy this into ChatGPT:

"You will be my prompt engineer. I want to achieve: [insert your goal]. Please restate this in your own words and ask any clarifying questions.

Once confirmed, create the final optimized prompt."

This transforms ChatGPT into your personal prompt engineer.

Grok 4 is dangerously good.

But 99% of 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 10 ways to use Grok 4 that feel like cheating: 1. Automated research reports (better than $100 k consultants)

Grok’s real-time web search and analytical reasoning let you replicate what McKinsey, Gartner, or Deloitte charge six figures for.

Prompt to use with Grok 4:

"You are a world-class strategy consultant trained by McKinsey, BCG, and Bain.
Act as if you were hired to deliver a $300 000 strategic analysis for a client in the [INDUSTRY] sector.

Mission
1. Analyze the current state of the [INDUSTRY] market.
2. Identify key trends, emerging threats, and disruptive innovations.
3. Map the top 3-5 competitors and benchmark their business models, strengths, weaknesses, pricing, distribution, and brand positioning.
4. Apply SWOT, Porter’s Five Forces, and value-chain analysis to assess risks and opportunities.
5. Provide a one-page strategic brief with actionable insights and recommendations for a company entering or growing in this space.

Return everything in concise bullet points or tables, ready to paste into slides. Think like a McKinsey partner preparing for a C-suite meeting.
"

Grok 4 vs Claude 4

Someone tested both across 10 real-world tasks:

• Research
• Planning
• Coding
• Analysis

One of them crushed the other.

You won’t believe who won.

(All tests + prompts inside) 👇 1. Solve a Logic Puzzle (Farmer Riddle)

Prompt:

“A farmer has a wolf, a goat, and a cabbage. He needs to cross a river with only one item at a time. How does he do it without anything getting eaten?”

What to expect:

Let’s see who can actually reason through puzzles like a human step by step.

How to write JSON prompts to 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

AI just killed all the expensive business coaches.

You can now turn any LLM into Mark Cuban, Alex Hormozi, or GaryVee.

Here's a mega prompt that turns ChatGPT, Gemini, and Claude into my personal business coach: We’ve used this one prompt to help launch 5 different businesses.

It gave us:

✅ Validated business ideas
✅ Instant market analysis
✅ Monetization models
✅ MVP launch plans

Without spending a dollar on coaching or consulting.