This is what the initial sketches of Spotify looked like in 2006 and this is how they got their first 1000 users: 👇

Humans are good at making sense of chaos. Machines are good at executing order. The magic happens when you let humans guide the chaos, and machines maintain the order. #AI #AIAgents #AgenticAI #MachineLearning #Robotics #AIDeveloper #BigData #ArtificialIntelligence #N8N

AI doesn’t “think” like us. It just connects dots faster than we can. The art is not in the AI. The art is in which dots you ask it to connect. #AI #ArtificialIntelligence #AIAgents #N8N #WebDev #NoCode #MachineLearning #BuildingInPublic #OpenSource

OpenAI just dropped a 32-page banger on how to build AI agents. It’s basically a free masterclass. Download Link: shorturl.at/mYwcy #OpenAI #n8n #AIAgent #AgenticAI #Automation #artificiallintelligence #AIdeveloper #learninginpublic #buildinginpublic

BREAKING: MIT just analyzed 300 AI deployments worth $40 billion & the results are devastating. Turns out, 95% of enterprise AI projects deliver zero measurable business impact. Here's what the data revealed: (hint: the pattern matches every major technology bubble we've seen)

🔥 Attention developers & AI engineers: Anthropic just dropped their internal prompt engineering playbook, the same tactics their own team uses to get top-tier AI outputs. No fluff. Just real, fully-tested techniques. Here's the link: shorturl.at/LwakR #n8n #AIAgent

OpenAI fired this 23-year-old from their Superalignment team. But he turned his insider knowledge into a $1.5B fund that's outperforming Wall Street by 700% this year. He says maybe ~200 people in SF understand what's *actually* happening in AI right now. Here's his thesis: 🧵

LLMs are basically reddit wrappers

📚I’ve just built a Python web scraper that extracts book data from Bookstore, including title, price, stock, rating, & more. Easy to customize for other scraping tasks! 🖥️ Check it out here: shorturl.at/TbgRa #Python #WebScraping #DataScience #Programming #OpenSource

Meta just showed agents can learn from their own raw mistakes, WITHOUT reward signals. The method is called Early Experience, and it breaks the binary everyone's stuck in. Here's why it matters: Many believe that to improve agents, either you do supervised fine-tuning on