84+ chapters · continually evolving
Get Amplified is a living field guide across three connected trajectories: mastering AI systems, thinking about markets with better tools, and improving the mind that uses them. New chapters arrive as the frontier moves, not on a content calendar.
Recent work leads. Older chapters stay available with their dates visible and may describe earlier tools, models, or market conditions.
01 / Three trajectories
They overlap on purpose. AI changes how we investigate markets, and both become more useful when attention and judgment improve too.
Use stronger systems without becoming a passive user of them.
Agent harnesses, frontier workflows, research methods, building, creative tools, and the judgment required to combine them well.
Think about markets with AI in the loop and uncertainty still visible.
Stock-market analysis, commentary, research processes, and a changing map of companies and opportunities in the AI economy.
Improve the operator alongside the tools.
Meditation and mindfulness re-examined through self-models, mechanistic interpretability, reinforcement learning, and lived experience.
02 / Recent chapters
Each card says why the chapter matters and opens the exact Patreon post. Filter by trajectory to find your entry point.
Examine a simple agreement prompt and a Grok 4.6 task-cheating experiment. A practical look at agent behavior and evaluation, not a guarantee that a prompt makes an agent reliable.
Try a three-step prompting approach developed through creativity experiments with Astra. Guide the exploration process without supplying all the ideas yourself.
Explore a voice app designed to fill silences and join in when it has something to say. A concrete experiment in making AI conversation feel less like taking turns with a tool.
Why unfamiliar problems can be worth pursuing, and methods for beginning the work before you know every step. Develop your approach alongside the tools.
A dated, practical comparison of Astra and Fable 5.1. Follow the observed differences as a starting point for testing which model suits your own work.
Explore purpose, ambition, money, and time as AI becomes more capable. Personal reflection and meditation-based inquiry to help examine your direction, not clinical guidance.
Connect recursive improvement and robotics to questions about chips, memory, energy, and infrastructure. An exploratory market discussion with uncertainty and downside risk, not investment advice.
Start with one thinker or source, follow the connections that spark curiosity, and use AI for research and small experiments. Explore meaningful work without waiting for a perfect life plan.
Examine robotics demonstrations, AI-assisted engineering, and possible market implications as AI moves into the physical world. A dated research perspective, not personalized investment advice.
The full collection is 84+ chapters and still growing. This page exists to help you find a useful entry point; Patreon holds the complete archive.
03 / How it evolves
A field guide to a moving field has to admit that it moves. Dates stay visible, and nothing pretends to be timeless when it is not.
New tools, current market context, and the newest branches of the Latent Lab of the Mind.
Research habits, agent patterns, and ways of thinking that stay useful well beyond one model release.
Older lessons remain with their dates visible. Tool-specific details may need reinterpretation: that is the honest version.
Continue on Patreon
Connoisseur is the self-paced path through most Get Amplified material at $30 a month. Architect adds the complete collection, the live Sunday 1000x Lab, every replay, and the full project archive at $50.