Why and how You should run AI with NO Internet

https://www.gtmaipodcast.com Your AI conversations are sitting in someone else's vault. In this episode, 20-year GTM operator John Williams shows exactly how he took his back: archiving every chat locally, running AI models offline on his own laptop, and setting hard guardrails on what his agents can buy and agree to without him. This is the GTM and AI Podcast, where real operators show the receipts. One rule in this kitchen: you actually have to cook. WHAT JOHN SHOWS LIVE ON SCREEN: • Chat Archive: a free, open-source browser extension that exports any AI conversation (Claude, ChatGPT, Gemini, Groq, Perplexity) to JSON or markdown, with zero outbound calls. Nothing leaves your machine. • Exporting a full Claude conversation and continuing it inside Groq with full context intact • Why he runs local models with Ollama, and how open-source models let you switch models mid-conversation without losing context • Agent Commerce: an open spec for what your AI agents can spend and what terms they can accept on your behalf • The AI Acceptable Use Policy: an open-source starting point so shadow AI doesn't run your company • How to vet any open-source AI tool before you trust it (the one question: would your security director approve?) TIMESTAMPS: 00:00 - Welcome to the kitchen: the one rule of this podcast 01:00 - Who is John Williams? 20 years in GTM, 5 as an independent operator 02:30 - Why your GitHub repo is the new resume 04:00 - The AI Acceptable Use Policy: fixing the shadow AI problem 05:30 - Agent Commerce: spending limits and guardrails for your AI agents 09:00 - Chat Archive: why owning your conversation history matters 14:00 - Building a digital twin from a year of AI conversations 16:00 - Local models 101: moving past being a "prompt jockey" 19:00 - GPU brownouts and token authority: why local inference is your backup plan 22:00 - LIVE DEMO: exporting a Claude conversation locally 25:00 - Porting full context from Claude into Groq, zero loss 28:00 - Token economics: the W-2 cost didn't disappear, it moved 31:00 - Data portability use cases: audits, regulated industries, federated intelligence 36:00 - OpenClaw: the power and the security risks of autonomous agents 39:30 - Where to find John + why he'd apply for his next job in public FIND JOHN WILLIAMS: GitHub: github.com/fxops-ai Hugging Face: huggingface.co (johnwilliamsatl) If this episode saved you from losing a year of AI conversations, subscribe and come cook with us next week. #GTMAI #AIAgents #LocalAI #DataOwnership #Ollama #GoToMarket