MIT researchers just found out:

99% of people are prompting wrong.

They throw random words at AI and hope for magic.

Here’s how to actually get consistent, high-quality outputs: There are 3 main ways to prompt:

👉 Zero-shot
👉 Few-shot
👉 Chain-of-thought

Each works in different scenarios.

Get this wrong, and your outputs will always be shaky.

Context length is the most important AI concept nobody explains.

It’s literally why your chatbot “forgets.”

Here’s the concept explained in plain English 👇 Every Large Language Model (LLM) has a token limit.

A token = a chunk of text (≈ 3–4 characters of English).

Think of it as the AI’s working memory.

If you exceed it, the model starts dropping information.

Example:

- GPT-4o has ~128k tokens (~300 pages of text).
- Claude 3.5 Sonnet has 200k tokens (~500 pages).
- Gemini 1.5 Pro: 1M+ tokens (~3,000 pages).

But no model has “infinite memory.”

Holy sh*t… Claude with XML is a different beast.

Anthropic researchers quietly dropped the framework — and no one’s talking about it.

It’s like switching from calculator to supercomputer.

Here’s the structure they didn’t put in the docs: 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)

You don’t need courses anymore.

Google Gemini now has 'Guided Learning' a full AI-powered tutor that explains, tests, and checks your understanding.

Here’s how it works (and why it's a game changer): 1. How to get in:

• Go to
• Start a new chat
• Choose Guided Learning
• Ask a question or upload a PDF/notes
• Turn them into a lesson with practice. gemini.google.com

The top 1% of AI users get 10x better results with the same models as everyone else.

Their secret? They mastered the skill everyone ignores: prompting.

MIT proved it drives 50% of performance.

The skill that changes everything ↓ When people upgrade to more powerful AI, they expect better results.

And yes, newer models do perform better.

But this study found a twist:

Only half the quality jump came from the model.

The rest came from how users adapted their prompts.

I can't accept that this is real.

AI agents are doing financial analysis that would take my team days.

Through simple English conversations.

We're witnessing the death of traditional analytics.

Here's everything you need to know: 90% software engineers think "traditional ML" is outdated.

But it still dominates where precision matters:

• sales forecasts
• customer churn
• segmentation
• resource demand

The trick is combining that with LLMs, not replacing one with the other.

Asking AI to “just do it” is not a prompt.

It’s a cry for help.

Here are 4 actual frameworks that get shockingly good results: Today, most people prompt like this:

“Write me a marketing plan for my product.”

And then they wonder why the result feels vague, boring, and unusable.

The problem isn’t AI.

It’s your approach.

I've tested every major AI model.

Claude 4 Sonnet is in a league of its own.

But 90% of users never discover its real capabilities.

Here are the 10 ways that will blow your mind: 1. Automated Research Reports (better than $100k consultants)

Claude’s web search + analysis mode lets you do what McKinsey, Gartner, and Deloitte charge six figures for.

You’ll get structured breakdowns, insights, and data points like a private analyst on demand.

R.I.P McKinsey…

You don’t need consultants anymore.

ChatGPT 5 can:

• Build market analysis reports in minutes
• Create investor-ready financial models
• Design step-by-step growth strategies

Here are 3 mega prompts to replace them. 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:

RAG is a important topic in AI that you need know about.

If you don’t have time for a course to learn about RAG, this thread will teach you everything about it in 2 minutes: 1. what is RAG?

RAG = Retrieval-Augmented Generation.

it connects a language model (like gpt-4) to your external knowledge.

instead of guessing, it retrieves relevant info before generating answers.

think: search engine + smart response = fewer hallucinations.

it’s how ai stops making stuff up and starts knowing real things.

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."