Claude just did something that made people ask ChatGPT: Are you planning to run ads? Recently, ChatGPT announced that it’s experimenting with ads inside the ChatGPT interface. And honestly, it makes business sense. AI platforms already understand: - User intent - Past conversations - Behavior patterns So ads inside AI won’t be random anymore they’ll be deeply personalized, meaning higher relevance and better ROI for advertisers. On January 16, 2026, ChatGPT officially hinted at testing ads within its product experience. Now here’s where things get interesting 👀 On February 4, Claude dropped a bold, cheeky, and slightly savage ad campaign. Their line? 👉Ads are coming to AI. But not to Claude. Keep thinking. That one sentence did a LOT of work. What blew my mind was how the ad itself was structured it replicated the exact way ChatGPT responds to users. - The same tone. - The same rhythm. - The same “Absolutely! Here’s the answer…” energy. - Funny? Yes. Smart? Absolutely. A direct attack on ChatGPT? Feels like it. This wasn’t just an ad. This was strategic positioning. Claude clearly said: “We’re not selling your attention.” Whether you agree or not, one thing’s clear 👉 AI marketing has officially entered its war era. Now I’m curious 👇 Do you think ads inside AI tools are inevitable? Or should AI remain a clean, ad-free thinking space? Drop your thoughts in the comments 💬

Most people misunderstand APIs because they zoom in too early 👀 API is the big picture. HTTP methods are just a small part of it 🧩 GET and POST are not “the API”. They’re just actions inside an API system. — What an API actually is 💡 An API is a structured way for one app to talk to another app without knowing how it works internally. You follow the rules. You get the response. — Every API request has 4 core pieces 🧱 1. Endpoint 2. HTTP Method 3. Headers 4. Body That’s it. Everything else builds on this. — Endpoint vs HTTP Method 📍➡️⚙️ Endpoint answers: Where am I sending the request? What resource am I dealing with? Example: /users HTTP Method answers: What action should happen at that address? Same endpoint, different intent: GET /users → read POST /users → create PUT /users → update DELETE /users → remove Address vs action. — Headers (instructions, not data) 📨 Headers are metadata. They are information about the request, not the actual data. Common ones you’ll see everywhere: Authorization → who you are 🔐 Content-Type → format of the body Accept → format of the response Headers tell the server how to read the message. — Body (the actual content) 📦 If headers are instructions, the body is the content. Usually present with: POST → create PUT / PATCH → update — The key link most people miss 🔗 Body = the data Content-Type = how that data is formatted No Content-Type → the body is unclear to the server. — Real example: creating a user 👇 POST /users Content-Type: application/json Body: { "name": "Harshad", "email": "harshad@email.com" } Translated into plain English: Create a user at /users. The data is JSON. Here is the user information. — Once you start seeing APIs as a simple conversation with rules 🗣️ they stop feeling complicated.

If you’re feeling overwhelmed in the AI space right now, that’s completely normal. I feel behind every single day. Things are moving insanely fast. Andrej Karpathy recently tweeted that he’s never felt this behind as a programmer. And this is someone who was the Director of AI at Tesla, a founding member of OpenAI, and one of the most respected people in the field. So if one of the leading voices in AI feels behind, you should not feel bad at all for feeling the same way. As we kick off the new year, just a reminder to focus on building simple systems for yourself, keep learning, keep experimenting, and keep moving forward. Don’t let the overwhelm stop you. Consistent progress always beats trying to keep up with everything. You’re in the right place. Cheers, Nate

This is your n8n Cheat Sheet for 2026 (Attached in this post) In this video I break down the 17 core n8n nodes that I use in almost every automation I build. After creating more than 200 workflows for real clients, my own AI automation business, and even for YouTube videos, these are the nodes that consistently show up across every use case. I walk through each node with real examples and explain why mastering this short list gives you the power to build almost anything in n8n. If you learn these 17, you can move fast, build confidently, and handle almost any automation project you run into.