3/ Here’s the playbook: Wrap your API as an MCP server Run it locally Hook it up to your AI agent The agent calls your endpoints directly, just like a user would… but smarter.

4/ Tried it with a weather app. Didn’t build a single button. I just asked the agent: “What’s the weather?” Boom—API called, answer delivered. No forms, no UI states, just pure logic orchestration. 🪄

5/ Want new features? Just add more MCP servers—Stripe for payments, Google Maps for locations, Instagram for socials. Postman even auto-generates all the server code. You focus on what your app does, not how it looks.

6/ Bottom line: Stop thinking about screens and start thinking about capabilities. Your new frontend is an AI agent, and your APIs are its toolbox. The old UI is gone. Welcome to the “AI is the app” era. 🚀

“Agentic systems” aren’t hype—they’re how AI gets real value. Top 4 insights from Andrew Ng & Harrison Chase talks. • Most business workflows are simple/linear—automate in micro-tasks • Build eval frameworks early, don’t just rely on human review • Voice apps are a huge,

If the US or China builds AGI even minutes before the other, it could trigger a global power shift. One nobody can ever reverse. This isn’t a movie script. It’s a real warning from Google DeepMind’s CEO Demis Hassabis. But that’s just the beginning... Are we ready? Machines

🔥 Hot take: 99% of people are learning AI Agents & no-code automation totally wrong in 2025. I wasted years in “tutorial hell”—but when I changed my approach, I learned 10x faster than ever (and you can too, even with ZERO tech background). • Mindset > everything: Your

Most “AI agent” threads are pure hype. But picking the right framework is harder than building the agent itself. After trying 12+ frameworks in 2025, I can finally tell you what works (and what’s a waste of time). You need a stack that plays together. Here’s the honest guide…

🚢 While everyone's building marketing chatbots, I built an AI agent that actually solves real business problems. Built a multi-agent shipping booking validator using: LangGraph + LangChain for workflow orchestration Claude & GPT-4o with automatic model escalation Real-time SQL

While Twitter argues about sports, I'm automating billion-dollar industries. Here's how AI agents are quietly replacing entire departments: #AIAgent 👇

This is a test tweet for scheduling features. It contains enough content to meet the minimum character requirements for the Twitter agent system.

Learning transformers with Andrej Karpathy

I finally wrapped my head around cosine similarity from embedding point of view. It’s simply the cosine of the angle between two vectors. Forget the lengths — all that matters is the direction they point in. Geometrically: If two vectors overlap (0° apart) → cos = 1 →

Super simple math to calculate GPU you require to train Qwen3. Need to calculate GPU requirements instantly? Here are the formulas every ML engineer should memorize: Training (mixed precision):model_size_in_B × 18 × 1.25 ÷ gpu_size_in_GB Inference (half

It so true...

These 5 research papers created trillion-dollar companies. Master them, and you'll understand why AI engineers earn $300K+: "Attention Is All You Need" (2017) - Built ChatGPT, OpenAI now worth $500B "Deep Residual Learning" (2015) - Powers Tesla's FSD, $1.4T company

Swarnkasa - Airbnb meets Zillow for Indian real estate swarnkasa.com Solving: Trust deficit + info overload for property buyers Stack: Next.js 16 • Supabase • TypeScript Early stage. Would love feedback on positioning! What would make YOU trust an online property

Swarnkasa - Airbnb meets Zillow for Indian real estate swarnkasa.com Solving: Trust deficit + info overload for property buyers Stack: Next.js 16 • Supabase • TypeScript Early stage. Would love feedback on positioning! What would make YOU trust an online property