Essays on AI, psychology, productivity, and the messy process of building real things.
Why we outsource thinking to machines, how cognitive offloading reshapes our relationship with knowledge, and what it takes to use AI without losing the ability to think independently.
A genuinely useful beginner guide to Claude — what it does well, how to structure requests, common mistakes to avoid, and a practical workflow you can start using immediately.
Forget memorizing prompt templates. Learn the underlying principles of communicating with AI — context, objectives, constraints, iteration — and start getting dramatically better results.
Social comparison, curated online identities, survivorship bias, and the algorithmic amplification of exceptional people — and what you can actually do about it.
A practical guide to AI agent architecture — tools, memory, planning, feedback loops, and evaluation — with code examples and honest distinctions between self-learning and self-improving systems.
Knowing something is harmful and stopping it are two entirely different problems. A deep look at the psychology of repeated behaviors — habit loops, emotional regulation, intermittent reinforcement, and why shame rarely helps.
Immediate rewards, variable reinforcement, and the design of modern digital environments — why easy things keep winning against important things, and what you can do about it.
A practical beginner guide to understanding and building AI-assisted automation workflows — triggers, AI steps, actions, and real examples using n8n, Make, and Zapier.
