If you want to build AI agents using n8n, do this:

Just copy/paste this prompt into ChatGPT.

It’ll build your agent from scratch workflows, steps, and logic included.

Here’s the exact prompt 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.

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

Gemini 2.5 Pro's capabilities are genuinely scary.

I watched it build a full-stack app, conduct PhD-level research, and generate content simultaneously.

Here are 5 ways to use Gemini 2.5 Pro that feel like cheating: 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.

I'm officially declaring cold email dead.

LinkedIn DMs? Also dead.

B2B agencies now close $50K deals at 3 AM using AI funnels.

Here's the autopilot sales system that killed manual outreach ↓ Step 1: AI-powered prospecting

Instead of scraping random lists, agencies are using AI to:

• Identify ICPs across multiple platforms
• Enrich profiles with context (budget, pain points, tech stack)
• Prioritize leads that actually buy

No more spray-and-pray.

Everyone's using Grok wrong for marketing.

They treat it like ChatGPT when it's actually a marketing automation beast.

Here are 15 ways to unlock its hidden superpowers (with exact prompts) ↓ 1. Content Ideation

Prompt:

"You’re a marketing strategist. Given {brand_name} and {target_audience}, generate 5 innovative content themes for {topic_niche}. Provide each as a headline plus a 1-sentence angle. Replace placeholders with your own brand & niche before running."

Bad prompts = bad results.
Good prompts = good results.
Great prompts = life-changing results.

These 4 frameworks create great prompts every time.

Your AI breakthrough starts here (Steal the frameworks): 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.

Claude 4 Sonnet is one of the smartest AI models on the planet.

But most people are stuck asking it surface-level questions.

Now I use it to create content, automate workflows, and even build apps.

Here are 10 real examples you can copy: 👇 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.

I finally figured out why LLMs break down on complex problems.

After months of debugging, found the root cause.

CoT isn't really reasoning, it's just guessing in slow motion.

The real fix? Hierarchical Planning.

Turns out that's what actually works at scale.

LLMs just can't keep track of all the moving parts without it.

Once you see it, you can't unsee it 🧵 Here’s the brutal truth:

Chain-of-thought is just a clever way of thinking one step at a time.

It helps LLMs do arithmetic, logic puzzles, and basic reasoning.

But when the problem grows past a few steps?

It collapses under its own weight.

Gemini has eliminated the marketing analyst role.

It can do this now:

• Spot what’s working
• Find winning topics
• Break it down by platform
• Generate hooks & CTAs
• Build your content calendar

Here’s the exact mega-prompt we use: 👇 99.9% of content marketers used to rely on analysts for:

• Keyword research
• Traffic reports
• Topic ideation
• Format testing
• Engagement metrics

Now?

You can skip all that and just ask Gemini what to make and why.

This might be the most important AI paper of the year.

DeepMind showed LLMs can actually reason with explicit rules.

No prompt hacks. No fine-tuning tricks.

Just real, general reasoning.

Let’s break it down: For years, the line was:

“LLMs can’t really follow rules. They just mimic patterns.”

Turns out… that’s wrong.

This study shows LLMs can actually internalize rules and apply them in totally new situations just like humans.

If you want to learn how AI agents work…start by learning these 10
basic concepts 👇 1/ Agentic AI

This is AI that doesn’t just answer questions it gets shit done.

Basically, It can plan, make decisions, and act without you babysitting it.

Think of the difference between asking a human for advice…

And having someone who actually takes the action for you.

I'm about to save you $10,000 and 4 years of college.

Here are 9 free courses from Google, Stanford, and MIT that will take you from AI beginner to expert: 1/ Udacity’s Intro to Artificial Intelligence

taught by sebastian thrun and peter norvig two of the biggest names in AI.

covers search algorithms, machine learning, logic, and planning.

udacity.com/course/intro-t…

I just read "Foundations of LLMs 2025" cover to cover.

It explained large language models so clearly that I can finally say: I get it.

Here’s the plain-English breakdown I wish I had years ago: 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.

Grok might be the smartest stock trader on the planet.

But only if you know the right prompts.

Here are 10 to put your trades on autopilot 👇 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."

You don’t need a PhD to master AI.

You need 30 days and a smart plan.

Here’s the exact roadmap (even if you’re starting from zero): Most beginners start by:

- Building chatbots
- Downloading agent frameworks
- Playing with APIs

But they don’t understand tokens, prompts, or context windows.

That’s like trying to write a novel before learning the alphabet.

This is AMAZING.

You can ask ChatGPT-4o to explain Warren Buffett’s portfolio, analyze market trends, and even spot risky stocks.

Here are 10 essential prompts for every trader: 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."

ChatGPT is insanely powerful

but 99% of people are using it like a smarter Google

here are 8 prompts to actually automate your work and save hours: 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.

Grok 4 is terrifyingly powerful.

But 99% of users are wasting it on surface-level stuff.

No strategy. No depth. No results.

These 8 prompts change everything: 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.

Nobody talks about this…

But if you prompt ChatGPT right, it becomes the best teacher you’ve ever had.

Here are 8 prompts that helped me learn anything 10x faster: 1/ Deep Dive into a Topic:

Prompt:

"Act as an expert on [subject], explain the most important concepts, and provide real-world examples to illustrate each. Then, give me a step-by-step guide to master this topic in the next 30 days."

wow… Kimi K2 is terrifying

it’s an open-source LLM that codes better than most paid models
and can run agents without falling apart

I pushed it hard... here’s what it built: Kimi K2 specs are wild:

→ 1T total / 32B active MoE
→ SOTA on SWE Bench, Tau2, AceBench
→ Strong in code + multi-step tasks
→ $0.15–2.50 per million tokens via API
→ Open weights + GitHub + playground

It rivals Claude 4 in coding but it's free + open.

kimi.com

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