How to Improve Your Productivity With AI Using Mental Models
Most people are getting a fraction of what AI can actually do for them — not because they’re using the wrong tools, but because they’re missing a layer that almost no one talks about: mental models.
In this session, I go deep on why mental models are the hidden multiplier inside every high-performing AI system. Charlie Munger built one of the greatest investment track records in history by mastering a latticework of models from multiple disciplines. The same principle applies here — except now, AI can hold hundreds of these models simultaneously and apply them in sequence, automatically, every time you ask a question. That changes everything about how you should be designing your workflows, your prompts, and your skills.
This isn’t a class about prompting basics. It’s about the architecture underneath — and once you see it, you can’t unsee it. The gap between people using AI casually and people who have built mental-model-powered systems is widening fast. This session is about crossing that gap.
I built this class as part of my ongoing Blockbuster Live series, where each session covers one high-leverage idea at the frontier of AI and learning — and gives you something concrete you can apply immediately.
During this session, we:
Explored why mental models are the hidden multiplier in AI productivity
Traced the full prompt progression, from chat to skills to autonomous systems
Walked through the three core ways to embed mental models into AI workflows
Saw how mental models function as a “command language” for better thinking
Examined Gary Tan’s GStack system, built on dozens of embedded mental models
Live-demoed a system prompt that automatically applies mental models to every query
Shared the G-Brain mental model encyclopedia and how to integrate it into Claude
Discussed the learning loop — how AI improves not just output, but your own thinking
Heard a live case study from a participant using fully autonomous AI systems
Answered participant questions on debugging AI errors, system design, and skill-building
AI-Generated Podcast Summary Of The Class
How To Access The Full Course
Free members get a 30-minute video preview of the class.
Basic paid members get:
Access to a monthly 90-minute class for 12 months.
Prompt to create specialized profiles for any context
Class resources (chat transcript, slides, full class transcript, prompts that are shared)
Said differently, paid members get access to 18 hours of learning for just $20/month or $149/year. This comes to just $8 for every hour of live class. And this doesn’t even include our other live monthly class, Augmented Awakening, or over $2,500 in other perks (20+ prompts, 7 courses, 3 books, blockbuster article library, etc).
RECORDING RESOURCES
Presentation Slides
Blockbuster Live Prompts
Class Transcript
Other Classes In The Blockbuster Live Course
Resources Shared
AI Timestamps
AI Chapter Summaries
Chat Transcript
