Google Search is cooked.

Perplexity is the only thing I trust for real research anymore.

Here’s how it replaced 50 percent of my workflow 👇 1. Deep Research Mode

Prompt:

“You’re my research assistant. Find the latest studies, reports, and articles on [topic]. Summarize each source with: Title | Date | Key Finding | Source link.”

→ Returns citations + structured summaries faster than any Google search.

Once you see how deeply Gemini 3.0 Pro understands context, you can’t unsee it.

These 5 prompts were my turning point 👇 1. Marketing Automation

Marketing is expensive and slow.
Hiring a pro team can cost $10k/month.
Now I use Gemini to create entire marketing systems fast.

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.

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.

If you care about accuracy, pattern-finding, and multi-angle reasoning,
Gemini 3.0 behaves less like a chatbot and more like a research partner.

Here are 5 prompts to automate research related tasks using Gemini: 1. Investment & Startup Research

Want to invest in a startup or analyze potential unicorns? Use DeepSearch to uncover financial health, investor trends, and market positioning.

Try this prompt:

"Analyze the startup landscape in [industry]. Identify promising startups, their funding rounds, valuation trends, and investor interest. Provide actionable insights."

🚨 BREAKING: Perplexity can now run full earnings breakdowns, sector trend forecasts, and macro scans in seconds.

It's now a complete finance AI tool.

Copy and paste this prompt into Perplexity to get better insights than Bloomberg ↓ Here's the prompt:

"You are my AI financial research analyst.

Your job:
Act as a Bloomberg terminal + McKinsey consultant hybrid.
I’ll give you a company, sector, or theme — you’ll produce institutional-grade research reports.

Your output format must always include:

1. EXECUTIVE SUMMARY
- Core insights in bullet points (5-8 max)
- Key metrics and recent trends

2. COMPANY OVERVIEW
- Core business model, revenue streams, valuation
- Latest financials, growth rates, P/E, debt ratios

3. MARKET CONTEXT
- Competitive landscape and positioning
- Key macroeconomic or regulatory drivers
- Industry tailwinds/headwinds

4. RECENT DEVELOPMENTS
- M&A activity, funding, leadership changes, partnerships
- Recent filings (10-Q, 10-K, S-1) insights

5. SENTIMENT & NEWS FLOW
- Analyst upgrades/downgrades
- Media sentiment (positive/negative/neutral)
- Major events impacting stock price

6. AI SYNTHESIS
- 5 key takeaways investors should know
- 3 action ideas (buy/hold/sell rationale)
- 2 contrarian insights missed by mainstream coverage

Formatting:
- Use concise paragraphs and data-backed statements.
- Include links to credible financial sources (e.g., SEC filings, Reuters, company reports).
- Prioritize insight density over filler.
- When I ask for comparisons, use a side-by-side table format.

Tone:
Objective, precise, and analytical — like a Goldman Sachs or Morgan Stanley equity analyst.

Example query:
“Analyze NVIDIA vs AMD Q3 2025 performance and AI hardware dominance.”"

Holy shit… I just found out why OpenAI, Anthropic, and Google engineers never worry about prompts.

They use context stacks. Context engineering is the real meta.

It’s what separates AI users from AI builders.

Here's how to write prompts to get best results from LLMs: 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.

R.I.P Google Scholar ☠️

I'm going to share the 10 Perplexity prompts that turn research from a chore into a superpower.

Copy & paste these into Perplexity right now ↓

(Comment "Send" and I'll DM you a complete automation guide) 1. Competitive Intelligence Deep Dive

"Analyze [company name]'s product strategy, recent feature releases, pricing changes, and customer sentiment from the last 6 months. Compare against top 3 competitors. Include any executive statements or strategy shifts."

holy sh*t… Claude 4 Sonnet just went full investment banker mode

3 mega prompts =

• earnings call analysis
• valuation models
• thesis writing
• risk analysis

this is elite tier

here’s the exact mega-prompt I used 👇 What do Goldman analysts actually do?

- Company valuations
- Market comps
- Investment memos
- Risk modeling
- Decks for MDs to take credit for

Now?

AI can automate 90% of it.

You just need the right prompts.

Stop paying $2000/month for AI tools.

I cracked the code on building complete agents from scratch.

Customer service, data analysis, content creation - all with 3 prompts.

Copy them before I delete this post: 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."

I should charge $100 for this...

I'm sharing the prompting technique that broke every AI model I've tested.

99% of people are still using basic prompts while I'm getting AGI-level outputs from Claude 4 Sonnet and GPT-5.

Here's the exact method: First, let’s break it down:

Every LLM (ChatGPT, Claude, Gemini, etc.) has a hidden setting called temperature.

- Low temp (0–0.3) = predictable, precise answers
- High temp (0.7–1.0+) = creative, exploratory answers

Most people don’t even know they can control this inside their prompts.

Grok 4 is a GENIUS stock trader.

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

Here are 10 prompts to use for stock trading automation: 1/ Market Analysis:

"Analyze the current trends in the stock market, focusing on [input sector or stock]. Identify any emerging patterns and suggest potential investment opportunities. Consider recent earnings reports and industry news in your analysis."

This feels illegal.

You can build fully automated AI agents in n8n with a single copy-paste prompt.

Here’s the one 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: Google just killed traditional classrooms.

Gemini for Education turns every student into a personalized learning machine with AI tutors, instant quizzes, and visual explainers.

10 wild features that just dropped: 1. Gemini for Education is here.

Built on Gemini 2.5 Pro

→ AI tools made for teaching & learning
→ Admin controls + enterprise security
→ Free in all Workspace for Education plans

Educators now get cutting-edge AI with peace of mind.

Prompting > Model.

You don’t need GPT-5 or GPT-6 to get better results.

You need better prompts.

Here are 5 techniques to master prompting: 👇 TECHNIQUE 1: Persona Assignment

Give your AI a specific role and identity. This creates focused expertise and consistent tone throughout the conversation.

❌ Without: "Write about marketing"

✅ With: "You are a senior marketing strategist at a Fortune 500 company with 15 years of experience. Analyze emerging social media trends and their impact on brand engagement for luxury fashion brands targeting Gen-Z consumers."

This AI TikTok system is too powerful.

I used LLMs to:

• Write a hook
• Build a storyline
• Design the visuals

→ It got 350K views overnight.

Here’s how to recreate it (for any niche): Most TikToks and Instagram reels flop.

Not because your content is bad but because your idea, hook, and pacing suck.

Here’s how I use LLMs like GPT-5 and Claude to:

→ Find viral ideas
→ Write scroll-stopping hooks
→ Generate banger scripts
→ Design visuals
→ Post like a pro

(bookmark this)

I finally get it.

How LLMs actually work and why most prompts suck.

After digging through OpenAI’s internal docs + top papers…

Here are 10 prompting techniques that changed everything ↓ You’re going to learn:

• What great prompts look like
• How to structure them for better output
• 10+ expert techniques that boost accuracy, logic & creativity

Whether you're a beginner or pro this will level you up.

I turned ChatGPT-5 into my personal marketing assistant.

Here are the 30 prompts that save me hours each week: Social Media Posts Framework:

"Draft a social media post for [Add info] using the 4 Cs (Clear, Concise, Compelling, Credible) framework to ensure high engagement."

🚨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: 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 a powerful research assistant.

It can help you research, plan, and launch a business effortlessly.

Here are 10 prompts that make it the ultimate tool for entrepreneurs: 1/ Unique Business Name Generator

Prompt:

"Generate 10 unique and creative business name ideas for a [industry/niche] business. Ensure they are not currently in use or trademarked."

10 GPT-5 prompts so powerful and useful, they feel illegal to use:

(Bookmark this for later 🔖) 1. Learn anything from a 20-year expert even if you're clueless

"Pretend you are an expert with 20 years of experience in {industry/topic}. Break down the core principles a total beginner must understand. Use analogies, step-by-step logic, and simplify everything like I’m 5."