🔴 Live Stream – Tuesday, February 3rd at 11 AM >> CALENDAR << I'll be covering four topics I've been digging into lately: 1. OpenClaw (aka Maltbot/Clawdbot) Going beyond the surface on this one — I'll break down the lesser-known underlying framework that powers OpenClaw and what makes it interesting. 2. Remotion.dev + AI Video Orchestration I've been building an MCP that connects to various AI APIs and Airtable to manage assets and orchestrate video creation — scenes, segments, faceless videos, demo videos, etc. I'll walk through what's possible with Remotion as a web-based video editor paired with Claude Code. 3. Running Your Own Local LLM If you're going to have an AI agent/assistant running 24/7, paying for expensive models like Claude around the clock isn't practical. I'll share my thinking on how to set up a local machine running models like DeepSeek or Kimi for always-on tasks, while reserving premium models for when you actually need them. 4. AI Chat Interfaces as a SaaS Framework I built a YouTube Strategist SaaS (thumbnail help, research, etc.) on top of a framework I created for launching chat-based SaaS apps quickly. The idea: instead of designing complex UI for every feature, give an LLM the right tools and let the chat interface handle it. I'll demo the app and walk through the framework. Hope to see you there! 🎙️

I just upgraded my RAG-powered AI sales agent that generates $50K per month, and in this video I'm showing you how to build it from scratch. Grab the templates inside the No-Code Architects. You'll learn how to create a complete AI sales system using n8n, Supabase, and Airtable that can answer product questions, serve up testimonials with source links, and close deals without you talking to anyone. What makes this different: your RAG database is fully managed through a user-friendly CRM interface. Add, remove, and update documents easily. Process videos, text files, and images. Store rich metadata so your agent always pulls the right information. I'll walk through setting up the vector store, building the document processing workflows, creating your products and leads tables, and connecting everything to an AI agent that actually works.