Watch the full livestream 👉 https://youtube.com/live/ARVOJLLWCOk Episode 17 of our new Series 'Code with AI the Right Way' is here! — and this time, we're building a AI Powered Storefront LIVE! (Using Sanity Context!) This is a LIVE build — mistakes, debugging, and all. That's the point. You learn more watching someone solve real problems in real-time than from a polished, pre-recorded tutorial. I'll see you there PAPAFAM! ✌️

Google rankings are no longer the whole game. People now ask ChatGPT, Claude, Perplexity and Google AI for answers—and if your brand is missing from those answers, your competitor may be taking the traffic, attention and money instead. In this video, I put my own name and brand under the microscope using Semrush One and the new Semrush MCP server. We test my traditional SEO visibility, see whether AI search engines mention or cite the brand, analyze keywords and backlinks, audit the website, identify its biggest discovery gaps, and turn the findings into a prioritized action plan—all through a simple AI conversation. You’ll learn how to: ✅ Connect Semrush MCP to an AI assistant such as ChatGPT ✅ Run an SEO and AI visibility check without being an SEO expert ✅ Understand keywords, SERP data, backlinks and authority scores ✅ Audit a website for technical issues and low-value pages ✅ Discover which searches your website is currently missing ✅ Compare your visibility with relevant competitors ✅ Track whether ChatGPT, Gemini, Perplexity and Google AI cite your brand ✅ Turn Semrush findings into a ranked execution plan your agent can help implement

Episode 16 of our new Series 'Code with AI the Right Way' is here! — and this time, we're building a Airtable Clone LIVE from scratch! (It even includes AI Agents and B2B Billing!) This is a LIVE build — mistakes, debugging, and all. That's the point. You learn more watching someone solve real problems in real-time than from a polished, pre-recorded tutorial.

Vercel Eve might be the new standard for building production-ready AI agents. Before this, building a real agent meant hand-rolling a mountain of plumbing: streaming, model routing, durable long-running workflows, safe sandbox execution, Slack/web channels, MCP connections, human-in-the-loop approvals, observability, scaling, and more. In this video, I break down Vercel’s full Agent Stack and show how Eve brings it all together with a filesystem-first framework for agents. We build and inspect a data analyst agent called Pulse, run it from the web, terminal, and Slack, look at sub-agents, schedules, Workflows, AI Gateway, Sandbox, Connect, and how it all deploys alongside a Next.js app. 🎯 What You'll Learn: ✅ Vercel Eve for building filesystem-first production AI agents! ✅ Vercel AI SDK + AI Gateway for streaming, model calls & model routing ✅ Vercel Workflows for durable long-running agent execution ✅ Vercel Sandbox for safely running agent code in isolated environments ✅ Skills, tools, sub-agents & schedules for more powerful agent behaviour ✅ Slack, terminal & web channels for talking to the same agent from anywhere ✅ Next.js integration with withEve so your app and agent deploy together + SO MUCH MORE!

Sending SMS, WhatsApp, and RCS messages should be simple — but in the real world, you end up dealing with registrations, approvals, carrier routing, country rules, retries, and webhooks just to answer one question: did the message land? This video shows how to avoid all of that complexity with Sent, a single API that can route messages across WhatsApp, SMS, and RCS automatically. Sent handles channel availability, formatting, fallbacks, compliance, delivery states, and webhook updates behind the scenes, so your app can send the right message through the best channel without maintaining separate integrations for each one. I’ll walk you through a full delivery tracking demo using the Sent's TypeScript SDK, Convex, real webhooks, approved templates, contacts, automatic routing, and AI agent setup with the Sent's MCP Server. We’ll cover: ✅ Why sending SMS gets complicated fast ✅ How Sent routes WhatsApp, SMS, and RCS from one API ✅ Setting up API keys, webhook secrets, and template IDs ✅ Sending real WhatsApp and SMS messages from a demo app ✅ Tracking queued, sent, delivered, and read states in real time ✅ Using templates, dynamic variables, buttons, and rich WhatsApp messages ✅ Handling Sent's webhooks with Convex or Next.js route handlers ✅ Using the Sent's MCP and docs to build faster with AI agents If you’re building apps that need reliable user messaging, this is one of the cleanest ways I’ve seen to ship multi-channel delivery without fighting every carrier and platform yourself.