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Eric shows the Jev use cases he is running for his teams, from classifying every Instagram follower to scoring hooks and offers across competitors for a few dollars. Neil explains how his Muse agent now writes the follow-ups on M&A deals he first discussed two or three years ago, and why he gives Meta access he would never give the AI labs. Eric predicts Google and Apple will each ship their own Muse, and they compare it with OpenClaw. Then the story of an AI answer nobody checked and why Neil told them he would fire the person, followed by the core idea: AI is leverage, and leverage on a bad position just loses you money faster. They close on an $80M real estate pitch Neil walked away from. A practical episode on putting AI agents to work.

Key takeaways
◾Classification at scale now costs dollars, not an analyst’s week
◾The deals you close come from follow-ups on talks two or three years old
◾AI is leverage: it multiplies good judgment and bad judgment equally

Chapters
00:00 Jev use cases for marketers
02:50 Neil’s AI writes his M&A follow-ups
06:02 Prediction: Google and Apple ship their own Muse
07:53 OpenClaw vs Muse
11:13 ‘I would fire you’: AI output nobody checked
13:07 Slop cannons in an AI-native company
13:54 AI is leverage
15:11 The $80M real estate pitch
17:12 Location, location, location