Hey everyone, Google just removed the ceiling on frontend generation with the new Shipmas update. The visual reasoning capabilities are actually insane. 🤯 I shared the full update and the video over on LinkedIn. Could you do me a huge favor? check it out and give it a Like and Repost if you find it valuable. It would really help spread the word! Link here: Click to see the LinkedIn Post

Hey guys, Day 3 of Shipmas is here, and we are finally moving beyond static UI. You can now literally "stitch" screens together into functional flows. 🤯 I wrote a quick breakdown of the new Prototype feature and why the export workflow is a game-changer on LinkedIn. Please help me spread the word: Click the link below and give it a Repost if you find it cool. I’d really appreciate the support! Link here: Click to see the LinkedIn Post

Just dropped a new carousel breaking down the biggest differences between people who struggle with AI and those who build entire workflows around it. After helping 500+ people fix their AI workflows, I noticed these patterns kept showing up: The gap isn't about prompts. It's about systems. Here's a sneak peek at what I covered: - Why single prompts fail (and what to do instead) - How to match the right AI model to your task - The automation workflow that saves me 400+ hours - Why fresh conversations kill your productivity - The #1 mistake that wastes money on AI The most valuable lesson? Slide 5 on workflows. Changed how I work completely. 👉 Check out the full breakdown here:https://www.linkedin.com/posts/karthikeyan-rajendran07_prompt-architect-tips-activity-7403782153685143552-c3wN

Google dropped their Cursor competitor yesterday. Completely free with 3 AI models built-in. I tested it for 24 hours - built an expense tracker and weather dashboard in under 5 minutes combined. Full demo here: https://youtu.be/EVBWOV0QumI Has anyone else tried it yet? Would love to hear your thoughts!

Want to dive deeper into this build and discuss how to enhance it? Join AIS+ In this video, I built a team of AI sales agents in n8n that leverages human-in-the-loop functionality for personalized email outreach. The process is simple: 1️⃣ The Sales Agent generates a personalized email. 2️⃣ A human reviews and provides feedback. 3️⃣ The Revision Agent makes adjustments based on the feedback. 4️⃣ This loop continues until the email is approved and ready to send. This system ensures that AI-generated emails meet your standards before being sent—giving you both automation and control. The best part? I built this without writing any code in n8n!