Episode
Eighty Hours in Ninety Minutes: What AI Agent Teams Change
- Published
- Jul 14, 2026
- Duration seconds
- 2238
- Processing state
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Summary
ABOUT THIS EPISODE This Weekly Blitz episode explains how non-technical professionals can coordinate AI agents, choose among current frontier and open models, and identify a first task worth automating. It answers why model routing and local inference matter, how human edits can train a reusable writing skill, and what AI changes in classrooms when producing the answer becomes easy. ABOUT THE CO-HOST Julie Koehrer is an on-air personality and branding and marketing consultant at Lafayette’s Q106.7. On The Weekly Blitz, she tests AI claims against local business, family life, marketing, and the time an ordinary person has to learn another tool. CO-HOST LINKS LinkedIn: https://www.linkedin.com/in/juliekoehrer Q106.7: https://lafayetteq1067.com/ TIME STAMPS 00:00 - Meta camera-roll claims, AI glasses, and privacy 08:41 - Seven agents and 80 to 100 hours of work in 90 minutes 12:05 - Codex, Claude CoWork, Claude Code, and choosing the right seat 14:24 - Fable 5, Mythos 5, export controls, and vendor dependence 16:56 - GPT-5.6 and the new price-and-capability race 18:32 - GLM-5.2, local models, model routing, and business continuity 20:26 - Grok 4.5, Cursor data, and Jason’s model-selection hierarchy 23:02 - The first automation question for a non-technical user 25:15 - NotebookLM, voice guides, and learning from every human edit 31:00 - AI in classrooms: answer machines, curiosity, and the students who still do the work CONNECT WITH JASON PADGETT Director of Growth and Partnerships at CitizenAI 📧 [email protected] LinkedIn: https://www.linkedin.com/in/jason-grant-padgett/ X: https://x.com/NoCodeCAIO No Code CAIO newsletter: https://schoolsout.agipodcast.ai/newsletter/ Available for interviews and keynotes on AI in education: [email protected] AGI PODCAST NETWORK School's…