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I spent 2025 designing and building hundreds of AI agents. If you’re unsure where to start, here’s the key thing to know ↓ AI agents aren’t complicated. The real challenge isn’t coding or connecting tools. It’s picking the right foundation before

Setting up the Turborepo foundation today Before diving deeper into the redesign + MDX + SEO stack, locking down the monorepo base - package.json workspace mapping - turbo.json pipeline - shared TS configs - unified UI + hooks packages Stable fou

Weekend Vibes... But the Leads Never Sleep! It’s the weekend — but opportunities don’t wait till Monday. While most inboxes are taking a break, smart businesses are already prepping their pipeline for the week ahead. Here’s what I’m doing this we

🚀 Everyone is talking about Agentic AI but let’s pause for a reality check. The dream is clear: AI that acts like a true agent, making autonomous decisions, browsing, planning, and executing tasks your digital J.A.R.V.I.S. The reality today: - M

Comet from perplexity has launched. Opan AI is also launching its own browser in few weeks. If autonomous agents start browsing for us, the ad economy collapses. No human eyes = no ad value. Web platforms will either pivot to subscriptions, shut dow

What’s the Difference Between Agentic AI and Generative AI? As artificial intelligence advances in complexity and capability, two major branches—Agentic AI and Generative AI—are beginning to shape distinct roles in technology and society. This guide

My 7-Point Checklist Before Adding Any Lead to the Pipeline Before a lead makes it into my pipeline, it has to pass this 7-point checklist 👇 This is how I ensure quality, compliance, and actual pipeline-readiness—not just vanity metrics. 🎯 The Ch

DAY 1 OF BUILDING F3 ( SOLO) So today was a really tough day. I spent the entire day working on the same thing — project management using Supabase. I thought, besides the AI generation pipeline, why not just use Supabase for version control, projec

4 powerful loops that power Agentic AI. Here’s the easiest explanation of how each one works. 𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗟𝗢𝗢𝗣𝗦 Agentic Loops explain how AI agents think, act, learn, coordinate, and improve over time using structured cycles. 1. 𝗖𝗼𝗹𝗹𝗮

Deconstructing How Agentic AI Actually Works We’ve all experienced what Large Language Models can do — but Agentic AI is the real leap forward. Instead of just generating responses, it can understand goals, make decisions, and take action on its own