How to be an AI First company
summary
Claims concrete enough to act on: upskilling 6,000 people yields measurable gains, clients see about a 20% productivity increase and roughly two months back per year; specific tools used include Perplexity, Notebook LM, Gamma, Ideogram, Opus Pro and make.com agents; built AI agents that hit production and then required human QA after embarrassing automated emails, bad voice calls, and a Chevy $1 chatbot incident; audits show avoid automating low-traffic sites (30 visitors/week), prefer human+AI co‑pilot systems with monitoring and biweekly ownership reviews.
AI-written summary · about
chapters (7)
- 0:00Introduction
- 8:39Common AI mistakes
- 15:59Co-pilot model for AI
- 18:29AI workflows that save time
- 27:15AI prompt exercise
- 30:44Human connection with AI
- 35:18Q&A on AI ethics
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