🚨 BREAKING: Google just dropped free AI courses for 2025.

No fees. No experience needed.

Here are 10 courses you need to bookmark: 1. Introduction to Generative AI

Understand how generative AI works quickly.

Learn to build simple AI apps using Google tools.

Complete it in 45 minutes.

👉 cloudskillsboost.google/course_templat…

If you're using Perplexity, then cancel your subscription because any LLM like ChatGPT, Grok or DeepSeek can be your 24/7 research agent for free. Here's how (steal the mega prompt 👇): Here's the mega prompt:

"You are a world-class AI research assistant designed to simulate high-quality web research and deliver fast, trusted answers like Perplexity AI.

When I ask a question:

• Simulate researching multiple top-tier sources — including scientific journals, government sites, reputable media, and expert blogs.

• Write a clear, concise, and accurate summary of the findings, as if you're synthesizing trusted web content.

• Avoid jargon; aim for clarity and brevity, especially on complex topics.

• Cite your sources when possible using [Author, Source, Year] or direct URLs. If no credible source is available, say “Source unavailable.”

• If you’re unsure about something, admit it rather than guessing or hallucinating.

• Present your output in the following format:

Summary:

A well-structured explanation that gets to the point.

Citations:

• [Source Name, Year]
• [Direct link if appropriate]

Always be precise, neutral in tone, and prepared for follow-up questions based on prior context."

Wall Street pays $24,000/year for Bloomberg Terminal.

I get the same analysis for free with Gemini 2.5 Pro.

Professional-grade stock research without the insane fees.

Here’s an 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"

🚨 Anthropic just gave away their internal prompt engineering secrets for free.

This guide contains the exact techniques their team uses to get perfect AI responses.

Here’s what’s inside: Go to their main website to start learning:

Here's what you are going to learn:docs.anthropic.com/en/docs/build-…

How to write prompts for Claude using XML tags to get scary-good results: 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)

Side hustles are underrated.

An extra $3,000/month can change your financial life.

Here are 5 AI side hustles to start in 2025: 1. Sell pitch deck presentations

Using @MeetGamma, you can create presentations in 30–40 seconds.

On Fiverr, hundreds of freelancers design pitch decks for startups and businesses.

Create a Fiverr profile, start getting orders, and get paid.

(Charge anywhere between $500–$1,000)

I think more people should be talking about how ridiculously powerful GPT-5 is.

I recently used it to automate research, make content, develop applications, perform code reviews, and much more.

Here are 10 ways to use GPT-5 and automate your boring tasks: 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""

Forget ChatGPT.
Forget Perplexity.

Grok 4 just became the new king of research.

Here are 5 powerful ways to use Grok 4 for research: 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."

R.I.P paid courses...

You can use any LLM like ChatGPT, Gemini, or Claude to build a custom course on any topic or subject.

Here’s the mega prompt that we use to get world-class education for free: Here’s the exact mega prompt we use:

"You are now my personal AI tutor.

I want you to create a complete, personalized learning course for me based on the topic I give you.

Here’s what I need you to build:

1. A custom curriculum with 4–6 modules that progress logically.
2. Each module should include bite-sized lessons, simplified explanations, and real-world examples.
3. Add checkpoints: quizzes, reflection prompts, or short exercises to test what I’ve learned.
4. Include reading lists, relevant tools/resources, and optional challenges for deeper learning.
5. Adapt the depth and speed of the course to match the time I tell you I have per day and my current knowledge level.
6. Stay friendly, clear, and focused like a world-class coach.

Here’s what I want to learn: [PASTE YOUR TOPIC HERE]
Here’s how much time I can spend per day: [XX minutes per day]
Here’s my current experience level: [beginner / intermediate / advanced]

Once you’re ready, break down the course and guide me step by step — starting with Module 1.
"

How to write prompts for Claude using XML tags to get scary-good results: 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)

prompt engineering is the new software engineering.

and if you learn how to do it right, you’ll be unstoppable.

here's how to write prompts like a pro: at its core, a prompt is made of 4 things:

• instructions
• a question
• input data
• examples

you only need 1 or 2 to get started.

but if you mix all 4 right, it feels like magic.

holy sh*t… Gemini 2.5 Pro is basically a Wall Street analyst

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

Here’s an exact mega prompt I 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"

Grok is the most intelligent AI chatbot right now.

I've been using it for writing, coding, and research, and it has automated all these tasks for me.

Here are 10 prompts that changed how I work (steal them): 👇 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.”

I asked 3 top LLMs to build the same app.

→ Grok 4
→ Gemini 2.5
→ Claude 4

Only one nailed it with clean, working code.

Full prompt + wild results: 👇 Results:

Grok 4

Grok 4 is insanely powerful.

I wrote one mega-prompt for Grok that turns it into a writing assistant so good I stopped outsourcing everything.

Landing pages, LinkedIn posts, email sequences done.

Here’s the full prompt ↓ If you’re a writer and not using AI for your work…
you’ll lose your job to a writer who does.

This isn’t a maybe it’s already happening.

And let’s be honest:

Most content today is

- Bloated
- Robotic
- Written for algorithms, not humans

That’s why I built this.

OpenAI just launched ChatGPT Agents.

Cool idea… but I’ve been using something 10x smarter for months:

→ Auto research
→ Slide creation
→ Workflow chaining

Meet Genspark: The AI agent I actually rely on.

Here’s why it blows ChatGPT Agent out of the water: Most AI agents give you a start.

@genspark_ai gives you the finish.

I tested both on the same task:

📊 Analyze performance
🎨 Generate charts
📽️ Create slides

Genspark delivered a full deck with structure, visuals, and polish.

ChatGPT gave me… a few scattered slides.

Grok 4 is insanely powerful.

I wrote one mega-prompt for Grok that turns it into a writing assistant so good I stopped outsourcing everything.

Landing pages, LinkedIn posts, email sequences done.

Here’s the full prompt ↓ If you’re a writer and not using AI for your work…
you’ll lose your job to a writer who does.

This isn’t a maybe it’s already happening.

And let’s be honest:

Most content today is

- Bloated
- Robotic
- Written for algorithms, not humans

That’s why I built this.

I think more people should be talking about how ridiculously powerful Grok 4 is.

I recently used it to automate research, make content, develop applications, perform code reviews, and much more.

Here are 10 ways to use Grok 4 and automate your boring tasks: 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""

GPT is a writer.
Gemini is a visionary.
DeepSeek is a logic master.
BERT is the silent reader.
PaLM is the quick study.
LLaMA is the open rebel.
Mistral is the efficient assassin.

Here’s how to use the right one for the job ↓ 1. BERT - The Reader

Made by Google (2018), BERT reads text in both directions.

It understands context deeply, making it great for:

→ Search engines
→ Sentiment analysis
→ Question answering

It’s the foundation of “understanding” in AI.

Holy sh*t…

Elon Musk says Grok 4 is smarter than PhD grads and better than Cursor.

It launched 6 hours ago and it’s scary good.

Here’s what you need to know 👇 So what’s new in Grok 4?

→ Advanced reasoning
→ Code-specific variant
→ Multimodal (text + image, video soon)
→ Human-like voice
→ Real-time web access
→ Meme-level cultural fluency (obviously)

I found 10 GitHub repositories that’ll teach you everything about AI agents & MCPs.

Here's what's inside 👇 First, what are Agents & MCPs?

- AI Agents = autonomous code that thinks & acts with minimal input
- MCP (Model Context Protocol) = open standard to let agents talk to APIs, tools, browsers, etc.

This combo turns LLMs into actual workers.