The best explanation of LLMs I've ever seen is in this new book.

"Foundations of LLMs 2025."

I've summarized the core concepts into a thread you can read in 3 minutes.

Finally, it all makes sense. To understand LLMs, start with pre-training.

We don’t teach them specific tasks.

We flood them with raw text and let them discover patterns on their own.

This technique is called self-supervised learning and it’s the foundation of everything.

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.

Grok 4 is actually cracked

Most people don't know how to use it.

But it can fully automate workflows if you know what to ask.

Here are 8 wild prompts to steal: 1. Market Research

"Conduct market research on {industry/product}. Identify trends, competitors, consumer behavior, and growth opportunities. Provide insights backed by data, key statistics, and strategic recommendations to leverage market gaps effectively."

Use Case: Launching a new product or validating an idea.

Transforms scattered data into actionable strategy using trends, stats, and competitive intelligence.

BREAKING: AI just replaced a $300K trading team.

It:

• scans markets 24/7
• runs strategies in real-time
• executes faster than any human

Here’s how it works (and how you can use it): 1. Introducing Intellectia, the top AI investment platform where AI meets your goals.

It helps you reach your goals with its AI Stock Picker, giving you daily tips on the best stocks to trade.

Try it free at Try.intellectia.ai

Want better output from ChatGPT, Claude, Gemini?

Use better prompts.

Here’s a 3-step system that turns AI into a useful collaborator: 1. Start with the outcome

Don’t ask what the AI can do.

Tell it what you want done.

Not “write a plan” → Instead: “Help me outline a 5-day launch strategy for a fitness app.”

AI works better when you show it the finish line.

Stop Paying for AI Courses.

The Best Ones Are 100% Free!

Here are 7 Free AI courses that are better than paid ones: 1. Introduction to Generative AI Learning Path:

You'll learn:

• AI fundamentals
• Generative AI
• Learn LLMs and how they work
• Responsible AI
• Google Cloud AI

🔗 cloudskillsboost.google/journeys/118

Claude’s XML prompting system is one of the most underrated cheat codes in AI.

• tighter control
• clearer formatting
• zero hallucination

Here’s how to use it ↓ 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)

SEO is dead.

People now trust ChatGPT more than Google.

Generative Engine Optimization (GEO) is the new game.

Here’s the exact prompt I use to make my brand show up in AI answers: 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.
"

Not all LLMs are built the same.

Here’s the ultimate cheat sheet:

→ GPT = content & comms
→ Gemini = vision + audio
→ Mistral = speed & edge
→ DeepSeek = math + logic

How to master each (fast): 👇 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.

It’s over.

You don’t need Gartner.

You don’t need a $50K consultant.

I’m doing full market analysis with Grok 4… for free.

Here are the 3 mega-prompts I use to replace Gartner-style insights: Let me tell you what Gartner consultants actually do:

1. Analyze industry trends and competitive dynamics
2. Benchmark companies and products
3. Identify strategic risks and opportunities
4. Package it all in fancy slides and charge 6 figures

But guess what?

AI can now do 90% of that instantly.

Let me show you how:

STOP paying ghostwriters.

This one Grok prompt now does all my:

→ brand storytelling
→ growth content
→ blog writing

and it’s scary good.

Here’s the full 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."

this is wild…

Grok 4 is now basically a Wall Street intern that never sleeps.

• Reads filings
• Analyzes earnings calls
• Flags red/green signals
• Suggests sector rotations

prompt + live example inside 👇 The mega prompt:

Just copy + paste it into Grok 4 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"

holy sh*t. these 10 GitHub repos are a crash course in AI agents & MCPs.

you'll go from “what’s a tool call?” to building fully autonomous systems.
these are gold mines: 1. ashishps1/learn-ai-engineering

Learn AI from scratch completely free.

Courses, guides, papers, and code to go from noob to pro.
No paywalls. Just clean learning.

github.com/ashishps1/lear…

You don’t need a marketing department anymore.

Claude 4 just became your:

→ Head of Content
→ Ad Creative Director
→ SEO strategist
→ Brand strategist

Here’s the one prompt to run it all: The mega prompt:

Steal it:

"
Act as a full-stack AI marketing strategist for a startup preparing to launch a new product or service. You will handle market research, positioning, messaging, content creation, email copywriting, and SEO ideation.



{Describe your product or service here}
{Who is the product for? (demographics, psychographics, industry, etc.)}
{e.g. “generate leads,” “build awareness,” “launch product,” etc.}
{e.g. “casual and fun,” “bold and punchy,” “professional and clear”}



Given the product, target audience, and goal:

1. Customer Insight & Research
- Generate an Ideal Customer Profile (ICP)
- Identify key pain points, goals, and decision drivers
- Suggest 3 positioning angles to resonate with this audience

2. Messaging & Conversion Copy
- Write a hook-driven landing page (headline, subheadline, CTA section)
- Provide 3 viral headline variations
- Create a messaging matrix: [Pain Point → Promise → Proof → CTA]

3. Content Creation
- Generate a 7-day content plan (Twitter + LinkedIn)
- Include daily post titles, themes, and tone suggestions
- Add 1 short-form video concept if relevant

4. Email Marketing
- Write 3 cold email variations:
- Value-first pitch
- Problem-agitate-solution
- Case-study / social proof style

5. SEO Strategy
- Suggest 1 SEO topic cluster aligned with the product
- Provide 5 blog post titles that target mid-to-high intent keywords
- Recommend a pillar + supporting post structure

6. Output Format
- Use clear section headers (e.g. “ICP”, “Landing Page Copy”, “SEO Titles”)
- Use markdown formatting for readability
- Do **not** explain your reasoning — just give the final, polished outputs

This should be delivered as a comprehensive marketing kit, ready to deploy.

"

🚨BREAKING: You can now turn messy notes into crystal-clear mind maps.

Fluig AI just dropped a tool that turns your ideas into flowcharts, tables & visuals instantly.

Here’s how it works (and why it matters) ↓ Fluig Al swiftly transforms your ideas into mind maps, flowcharts, cards, tables, timelines, fishbone diagrams, and even code.

Think faster, organize information visually, and inspire clearer, more creative thinking.

Gemini 2.5 Pro is terrifyingly good.

But most people have no idea how to use it properly.

Here are 5 use cases that feel straight-up illegal:

(I've also added the prompts 👇) 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.

omg… this AI workflow is wild.

You can now run full competitive market analysis using ChatGPT, Gemini, and Grok deep research features.

Here are the exact 3 mega-prompts I use to replicate McKinsey-style insights for free: Let me tell you what McKinsey consultants actually do:

1. Analyze industry trends and competitive dynamics
2. Benchmark companies and products
3. Identify strategic risks and opportunities
4. Package it all in fancy slides and charge 6 figures

But guess what?

AI can now do 90% of that instantly.

Let me show you how:

Forget colleges.
Forget universities.
Forget 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.
"

I tested Claude Sonnet 4 vs Gemini 2.5 Pro like a power user would.

7 real prompts. Dev, research, content.

The results? Way more dramatic than I expected.

Here’s the thread: 👇 1/ Creative storytelling under constraint

"Write a 120-word sci-fi flash fiction where an AI gains self-awareness mid-experiment. Include the words “circuit,” “heartbeat,” and “betrayal.” End on an unresolved question. "

Claude:

You don’t need a VA.

You need these 13 GPTs inside ChatGPT.

They’ll do:

→ Scheduling
→ Research
→ Docs
→ Even meeting recaps

Full list 👇 Design:

1/ Canva GPT

Want to use Canva inside ChatGPT and create designs without switching tabs?

Use this GPT.

Just describe what you want — it helps you create stunning visuals.

🔗 chat.openai.com/g/g-alKfVrz9K-…

wtf… Google just shipped a CLI agent that runs Gemini 2.5 locally

No browser. No API key. No bill.

Just you and AI in the terminal.

Here’s everything you need to know 👇 1. It's local, open, and powerful.

Gemini CLI is an open-source AI agent for your shell.

Works like a chat, but thinks like an engineer.

Summarize files, debug code, run commands all via prompt.

Official launch: blog.google/technology/dev…

Check it out here: github.com/google-gemini/…