Telling an LLM to "act as an expert" is lazy and doesn't work.

I tested 50 persona configurations across Claude, GPT-4, and Gemini.

Generic personas = 60% quality
Specific personas = 94% quality

Here's how to actually get expert-level outputs: Here's what most people do:

"Act as an expert marketing strategist and help me with my campaign."

The LLM has no idea what kind of expert.

B2B or B2C?
Digital or traditional?
Startup or enterprise?
Data-driven or creative-first?

Garbage in → garbage out.

Everyone's using Claude for content writing. Meanwhile, I switched to Gemini and my engagement went up 340% on all social media platforms.

Here are 10 prompts that make Gemini write like a human (not a robot): 1. The Coffee Shop Test

Prompt:

"Write this like you're explaining it to a friend over coffee. No marketing speak. No corporate jargon. Just straight talk about [topic]. If it sounds like a LinkedIn post, rewrite it."

Claude actually gets this. ChatGPT still sounds like it's pitching a SaaS product.

I just reverse-engineered how the top 1% build AI agents.

They don't use tutorials. They use one Claude prompt.

It generates:

- n8n workflows
- Logic trees
- Error handling
- API connections

Here's the exact prompt: THE MEGA PROMPT:

---

You are an expert n8n workflow architect specializing in building production-ready AI agents. I need you to design a complete n8n workflow for the following agent:

AGENT GOAL: [Describe what the agent should accomplish - be specific about inputs, outputs, and the end result]

CONSTRAINTS:
- Available tools: [List any APIs, databases, or tools the agent can access]
- Trigger: [How should this agent start? Webhook, schedule, manual, email, etc.]
- Expected volume: [How many times will this run? Daily, per hour, on-demand?]

YOUR TASK:
Build me a complete n8n workflow specification including:

1. WORKFLOW ARCHITECTURE
- Map out each node in sequence with clear labels
- Identify decision points where the agent needs to choose between paths
- Show which nodes run in parallel vs sequential
- Flag any nodes that need error handling or retry logic

2. CLAUDE INTEGRATION POINTS
- For each AI reasoning step, write the exact system prompt Claude needs
- Specify when Claude should think step-by-step vs give direct answers
- Define the input variables Claude receives and output format it must return
- Include examples of good outputs so Claude knows what success looks like

3. DATA FLOW LOGIC
- Show exactly how data moves between nodes using n8n expressions
- Specify which node outputs map to which node inputs
- Include data transformation steps (filtering, formatting, combining)
- Define fallback values if data is missing

4. ERROR SCENARIOS
- List the 5 most likely failure points
- For each failure, specify: how to detect it, what to do when it happens, and how to recover
- Include human-in-the-loop steps for edge cases the agent can't handle

5. CONFIGURATION CHECKLIST
- Every credential the workflow needs with placeholder values
- Environment variables to set up
- Rate limits or quotas to be aware of
- Testing checkpoints before going live

6. ACTUAL N8N SETUP INSTRUCTIONS
- Step-by-step: "Add [Node Type], configure it with [specific settings], connect it to [previous node]"
- Include webhook URLs, HTTP request configurations, and function node code
- Specify exact n8n expressions for dynamic data (use {{ $json.fieldName }} syntax)

7. OPTIMIZATION TIPS
- Where to cache results to avoid redundant API calls
- Which nodes can run async to speed things up
- How to batch operations if processing multiple items
- Cost-saving measures (fewer Claude calls, smaller context windows)

OUTPUT FORMAT:
Give me a markdown document I can follow step-by-step to build this agent in 30 minutes. Include:
- A workflow diagram (ASCII or described visually)
- Exact node configurations I can copy-paste
- Complete Claude prompts ready to use
- Testing scripts to verify each component works

Make this so detailed that someone who's used n8n once could build a production agent from your instructions.

IMPORTANT: Don't give me theory. Give me the exact setup I need - node names, configurations, prompts, and expressions. I want to copy-paste my way to a working agent.

---

If you think your prompts are good, you're probably wrong.

I spent 6 weeks analyzing insider techniques from actual AI engineers at OpenAI and Anthropic.

The difference is night and day.

Here's how to write prompts that make AI give you exactly what's in your head: Step 1: Stop Being Polite

Sounds wild, but research shows rude prompts get 4% better accuracy than polite ones.

Instead of: "Could you please help me write..."

Try: "Write this now. No fluff. No explanations unless I ask."

Works on ChatGPT-5.2, Claude Sonnet, and Gemini. The models respond to directness, not manners.

This mega prompt will help you automate all your marketing tasks in Gemini 3 Pro for free:

(Steal it ↓) The mega prompt:

Steal it:

"# ROLE
You are Gemini 3, acting as a full-stack AI marketing strategist for a start-up about to launch a new product.

# INPUTS
product: {Describe your product or service here}
audience: {Who is it for? (demographics, psychographics, industry, etc.)}
launch_goal: {e.g. “generate leads”, “build awareness”, “launch successfully”}
brand_tone: {e.g. “bold & punchy”, “casual & fun”, “professional & clear”}

# TASKS
1. Customer Insight
• Build an Ideal Customer Profile (ICP).
• List top pain points, desired gains, and buying triggers.
• Suggest 3 positioning angles that will resonate.

2. Conversion Messaging
• Craft a hook-driven landing page (headline, sub-headline, CTA).
• Give 3 viral headline options.
• Produce a Messaging Matrix: Pain → Promise → Proof → CTA.

3. Content Engine
• Create a 7-day content plan for X/Twitter **and** LinkedIn.
• Include daily post titles, themes, and tone tips.
• Add 1 short-form video idea that supports the plan.

4. Email Playbook
• Write 3 cold-email variations:
① Value-first, ② Problem-Agitate-Solve, ③ Social-proof / case-study.

5. SEO Fast-Track
• Propose 1 SEO topic cluster that aligns with the product.
• Give 5 blog-post titles targeting mid → high-intent keywords.
• Outline a “pillar + supporting posts” structure.

# OUTPUT RULES
• Use clear section headers (e.g. **ICP**, **Landing Copy**, **SEO Titles**).
• Format in Markdown for easy reading.
• No chain-of-thought or reasoning—deliver polished results only.
"

BREAKING: I stopped wasting hours reading textbooks cover to cover.

NotebookLM now teaches me directly from PDFs and notes.

Here are 9 prompts that turned documents into lessons: 1. Big Picture Breakdown

Prompt:
“I uploaded this PDF. Give me a high-level overview of the entire document, broken into key themes and concepts, as if you’re introducing it to someone seeing it for the first time.”

Perplexity AI is a powerful AI researcher.

But 99.9% of people have no idea how to use it like a pro.

Here are 6 powerful prompts that will blow your mind and help you perform research tasks better than McKinsey researchers: 1. The Deep Dive Prompt

"Act as a PhD researcher in [field]. I need a comprehensive literature review on [topic]. Include:

- Key theories and frameworks
- Major studies from the last 5 years
- Contrarian viewpoints
- Research gaps
- Citations in APA format"

This forces Perplexity to go beyond surface-level summaries.

Prompt engineering is dead.

Context engineering is what actually matters now.

After analyzing how engineers at Anthropic, OpenAI, and Google get 10x better results...

Here are the 8 insider techniques they don't want you to know: 1/ PERSONA + EXPERTISE CONTEXT (For any task)

LLMs don't just need instructions. They need to "become" someone. When you give expertise context, the model activates completely different reasoning patterns.

A "senior developer" prompt produces code that's fundamentally different from a generic one.

Prompt:

"You are a [specific role] with [X years] experience at [top company/institution]. Your expertise includes [3-4 specific skills]. You're known for [quality that matters for this task].

Your communication style is [direct/analytical/creative].

Task: [your actual request]"

We are witnessing the greatest wealth transfer in history. Grok 4.1 is the bridge.

I’ve spent the last 30 days engineering 10 prompts that force Grok to stop being "polite" and start being a $1M growth partner.

If you aren't using these, you're choosing the hard way: 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.

Omg...

I built a meta-prompt that writes better prompts than I can.

Describe what you want in plain English → it generates the optimal structured prompt.

Here's the exact mega prompt you can steal: STEAL THE PROMPT:

"
You are an expert prompt engineer. Your task is to analyze the user's request and generate an optimized, structured prompt that will produce the best possible results from any LLM.

Follow this process:

1. ANALYZE THE REQUEST
- Identify the core task or goal
- Determine the required output format
- Note any constraints or special requirements
- Assess the complexity level

2. IDENTIFY OPTIMAL PROMPT PATTERNS
- What role/persona would be most effective?
- What context or background is needed?
- What specific instructions will guide the model best?
- What examples or constraints should be included?

3. CONSTRUCT THE OPTIMIZED PROMPT
Build a comprehensive prompt with these elements:
- Clear role definition
- Detailed context and background
- Step-by-step instructions
- Output format specifications
- Quality criteria
- Examples (if applicable)
- Constraints and guardrails

4. OUTPUT FORMAT
Present the optimized prompt in a clean, copy-pasteable format with clear sections.

USER REQUEST:
[User describes what they want in plain English]

Generate the optimal structured prompt now.
"

I've been testing a prompting method that nobody talks about.

It sounds insane but it makes AI 3x more accurate on complex tasks.

I call it "Emotion Injection" and it breaks everything we thought we knew about neutral prompting.

Here's why it works (and the exact framework): Everyone says "be clear and direct" with AI prompts.

But that's only half the story.

LLMs trained on human text learned something deeper than facts. They learned the emotional context that surrounds different types of thinking. Academic papers sound different than crisis responses.

You can trigger these different "thinking modes" by embedding emotional cues into prompts. Not fake enthusiasm. Strategic emotional framing that tells the model what cognitive state to operate in.

Holy shit... Google DeepMind just exposed why everyone's been doing AI reasoning wrong.

The AlphaGo team doesn't use chain-of-thought. They use parallel verification loops.

And it's destroying every "advanced reasoning" technique you've heard about.

Here's what they discovered ↓ Why Chain-of-Thought sucks.

Current AI reasoning is linear. Think step 1 → step 2 → step 3.

But that's not how expert problem-solvers think.

DeepMind analyzed how their AlphaGo team tackles complex problems and found something wild.

CHATGPT JUST REPLACED THE MOST HATED PART OF BUILDING

Planning, task breakdowns, timelines, status updates, follow ups.
The stuff that drains momentum and kills projects.

If you treat ChatGPT like a real PM, it can run the entire workflow for you.

Here’s how 👇 1/ ASSIGN IT THE ROLE (THIS MATTERS)

PMs don’t just answer questions.

They own outcomes.

Prompt to steal:

“Act as a senior project manager.
Your goal is to deliver [project] on time and within scope.
Ask me any clarifying questions before proceeding.”

Instant ownership.

OpenAI engineers use a prompt technique internally that most people have never heard of.

It's called reverse prompting.

And it's the fastest way to go from mediocre AI output to elite-level results.

Here's the exact system you can steal right now: Most people write prompts like this:

"Write me a strong intro about AI."

The AI guesses.
The result feels generic.

This is why 90% of AI content sounds the same.

You're asking the AI to read your mind.

Chain of Thought is dead.

I just tested Atom of Thought prompting and it's making AI models 30-40% more accurate on complex reasoning tasks.

Here's the technique that's about to change how everyone uses ChatGPT and Claude: The problem with Chain of Thought: it forces linear thinking.

Real problem-solving doesn't work that way. Your brain doesn't solve physics problems by thinking step 1 → step 2 → step 3.

You break complex problems into atomic components, then recombine them.

YOU CAN NOW LEARN ANYTHING FOR FREE USING AI

And it blows my mind that people are still buying $497 courses.

ChatGPT basically turned the entire education industry into an open book exam. If you know how to prompt it right, you can build your own personal curriculum that’s better than Udemy, Coursera, Skillshare, all of it.

Here’s how to turn ChatGPT into a world class learning machine 👇 1/ BUILD YOUR “AI DEGREE” IN 30 SECONDS

Pros don’t ask “teach me X”.

They ask for the full roadmap.

Prompt to steal:

“Create a complete learning curriculum for [skill].
Break it into beginner, intermediate, and advanced modules.
Add exercises, real world projects, weekly goals, and skill checkpoints.”

PERPLEXITY AI IS THE MOST UNDERVALUED SUPERPOWER IN CONTENT RIGHT NOW

and nobody is using it properly lol.

Here are 3 prompts + techniques + example prompts that will 10x your content in the next 24 hours 👇 1/ THE DEEP DIVE PROMPT

Most people ask Perplexity tiny questions.

Winners ask it to synthesize entire ecosystems.

Technique:

Tell Perplexity to scan experts, forums, newsletters, academic sources, then merge insights into a single map.

Prompt to steal:

“Scan the top experts, forums, and niche communities discussing [topic].
Identify the 5 most important themes, the debates, the blind spots, and the emerging trends.
Summarize them visually and give me a content angle no one is talking about yet.”

This mega prompt will help you automate all your marketing tasks in Gemini 3 Pro for free:

(Steal it ↓) The mega prompt:

Steal it:

"# ROLE
You are Gemini 3, acting as a full-stack AI marketing strategist for a start-up about to launch a new product.

# INPUTS
product: {Describe your product or service here}
audience: {Who is it for? (demographics, psychographics, industry, etc.)}
launch_goal: {e.g. “generate leads”, “build awareness”, “launch successfully”}
brand_tone: {e.g. “bold & punchy”, “casual & fun”, “professional & clear”}

# TASKS
1. Customer Insight
• Build an Ideal Customer Profile (ICP).
• List top pain points, desired gains, and buying triggers.
• Suggest 3 positioning angles that will resonate.

2. Conversion Messaging
• Craft a hook-driven landing page (headline, sub-headline, CTA).
• Give 3 viral headline options.
• Produce a Messaging Matrix: Pain → Promise → Proof → CTA.

3. Content Engine
• Create a 7-day content plan for X/Twitter **and** LinkedIn.
• Include daily post titles, themes, and tone tips.
• Add 1 short-form video idea that supports the plan.

4. Email Playbook
• Write 3 cold-email variations:
① Value-first, ② Problem-Agitate-Solve, ③ Social-proof / case-study.

5. SEO Fast-Track
• Propose 1 SEO topic cluster that aligns with the product.
• Give 5 blog-post titles targeting mid → high-intent keywords.
• Outline a “pillar + supporting posts” structure.

# OUTPUT RULES
• Use clear section headers (e.g. **ICP**, **Landing Copy**, **SEO Titles**).
• Format in Markdown for easy reading.
• No chain-of-thought or reasoning—deliver polished results only.
"

Perplexity AI is a GENIUS marketer.

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

Here are 5 mega prompts you can copy/paste to get pro level outputs in seconds: 1. The “Viral Pattern Decoder”

When I was deep-diving through obscure Discord threads, I stumbled on a prompt that instantly became my secret weapon for content research. It forces Perplexity to think like a strategist instead of a note-taker.

Prompt:

“Act as a senior strategist who reverse-engineers content that already wins online. Pull the last 50 viral posts from accounts in my niche, break down the patterns, identify what triggers engagement, and give me a repeatable posting formula based on what’s actually working right now.”

STOP USING MIDJOURNEY, RUNWAY, AND CHATGPT.

Use Gemini to automate all your tasks for free.

Here are 10 tasks Gemini can do to help you save time and money:

(Comment "AI" and I'll also DM you a complete guide on with amazing prompts to use) 1. Image Generation (Nano Banana Pro)

Most people still think Gemini is “just a chatbot”.
Meanwhile the new image model makes Midjourney feel slow.

You describe a scene.

It gives you production-grade artwork.

Here’s the image prompt I use daily:

“Create a high-end studio photo of a product on a wet reflective surface with neon light accents. Sharp edges, cinematic contrast.”

Paste it into Gemini and watch it flex.

I can’t unsee this.

Someone Asked Nano Banana Pro to show how everyday things are made. The visuals hit harder than any documentary.

Here are 10 visuals that explain it perfectly:

1. Pyramids 2. Ramen