1/19/2026 - Using Claude Co-work to Map 33 Months of AI History from Our Channel

Monday Night Madness. Heading to Washington DC tomorrow for The AI Salon fly-in with Daisy Thomas. It's going to be a blast! Kyle Shannon demonstrates the power of agentic AI using Claude Co-work, successfully analyzing 33 months of his 700-video library to generate a comprehensive, hyperlinked timeline of generative AI history. He also shares a major actionable insight: a colleague published a complete children's book on Amazon in just 26 minutes using ChatGPT for content generation and optimization. This session explores how advanced tools are automating complex, multi-step creative and research tasks. Kyle discusses his commitment to a new AI-driven daily practice, noting that this intentional focus has led to significant personal breakthroughs by challenging his "legacy way of being." He also offers empathetic strategies for introducing AI to fearful colleagues, emphasizing that non-threatening personal uses—like analyzing an insurance policy—are far more effective than tackling job displacement fears directly. Kyle wraps up by detailing his upcoming trip to Washington D.C. to discuss AI policy with legislators. 🎙️ New to streaming or looking to level up? Check out StreamYard and get $10 discount! 😍 https://streamyard.com/pal/d/5460595014369280 #AIAgents,#ClaudeCoWork,#DailyPractice,#GenerativeAI,#AITimeline,#ChatGPT,#FutureofWork,#AIEthics Chapters: 00:00:00 Hallelujah Performance 00:02:54 David's Secret Chord 00:07:25 Meltdown Monday Welcome 00:10:05 AI Book Publishing 00:11:56 Following Creative Paths 00:13:33 Upcoming DC Trip 00:15:38 Daily Practice Results 00:17:09 The Persistent Legacy 00:18:49 Morning Routine Design 00:21:45 Daily Practice Trends 00:23:48 Big Jim Ross 00:24:19 Introducing Claude Cowork 00:27:07 Claude File Organization 00:29:06 Generating Channel History 00:32:06 Initial Thoughts on Cowork 00:33:18 Addressing Fear of AI 00:39:12 Steam Engine Comparison 00:42:19 Simple AI Tricks 00:51:16 Token Economics 00:56:31 Refining AI Output 01:04:04 Using ChatGPT Canvas 01:15:08 Defining AGI 01:35:16 Tool Selection Philosophy 01:41:45 Raw Timeline Shared 01:48:08 Final Closing Remarks