The episode focused on practical AI workflow design, especially how Fable fits as a high-cost planning and audit model rather than a default execution model. The hosts discussed compound engineering, verification loops, Caveman-style terse prompting, and how AI work changes communication habits. They also covered Microsoft Frontier Co and the broader move toward embedded AI engineering for enterprises. The final news segment debated Wired’s report on Meta’s Project Cannes and whether aggressive safety testing belongs inside companies, with contractors, or under stronger oversight. Key Points Discussed 00:00:18 Episode Intro And Hosts 00:01:36 Weekend Fable Use Cases 00:05:56 Fable Audits For AI Workflows 00:09:20 Compound Engineering And Verification Loops 00:15:39 Using Fable As The Expert Model 00:19:32 Microsoft Frontier Co And Embedded Engineers 00:25:47 AI Audits And Working Worldviews 00:34:04 Caveman Plugin And Token Efficiency 00:38:14 Field Guide To Fable Unknowns 00:39:49 GPT-5.6, Watermelon And Codex Ultra 00:41:37 Claude Suggested Tasks And Branches 00:44:16 Meta Project Cannes Safety Testing 00:58:07 Fable Usage Credits Clarified The Daily AI Show Co Hosts: Karl Yeh, Beth Lyons, Brian Maucere, Andy Halliday