I Was on Google's Agent Factory Podcast (Live Gemini 3 Demo)
Hey guys! I just got to sit down with Smitha Kullan and Vlad Kolesnikov from Google on their Agent Factory podcastāand the timing couldn't have been better. Google released Gemini 3 Pro literally hours before we recorded. So we got to dive deep into building production-ready AI agents, I did a live demo of my market research AI employee workflow, and we nerded out about everything from Gemini CLI to building entire AI workforces. If you've been wondering how to actually build AI agents that do real work for you, this episode is packed with actionable strategies. You can watch the full episode below and make sure to subscribe to their channel! Here's what we covered: ā
Live demo: How I use Gemini CLI to build market research AI employees that search across entire markets in parallel ā
My "AI-first" philosophyāhow I've built AI employees to handle everything from customer research to email ghostwriting ā
The SOP (Standard Operating Procedure) framework for creating AI employees that follow instructions at scale ā
How I never write code anymoreāI just review it while AI does the heavy lifting ā
Real examples from my EMS startup showing AI doing market research across multiple cities simultaneously ā
Why Gemini 3 Pro is crushing it for high-level reasoning and agentic operations Plus, Vlad showed off an insane AI video creation agent using Google's Agent Development Kit (ADK) that generates educational videos with a talking capybara. You have to see it to believe it. Whether you're just getting started with AI agents or you're looking to automate more of your business operations, this conversation is exactly what you need right now. P.S. Black Friday is hereāand for the first time ever, Shipkit is offering our biggest discount of the year. If you want to start building production-ready AI applications with pre-built templates, Claude Code mastery modules, and everything you need to ship AI Chat, RAG, ADK agents, and moreānow's the time. Skip the boilerplate, learn the workflows, and start shipping real AI applications in days instead of months.