Blog

Welcome to a space dedicated to the art and science of decision-making. Here, we explore decision science—a fascinating field that brings together subjects including (but not limited to) mathematics, behavioral sciences, technology, computing, management, and history—to unravel how we can make more informed and effective choices. Through insights, anecdotes, and practical resources, this blog dives into concepts, processes, and tools to sharpen decision-making skills. Whether you’re curious about the psychology behind choices or looking to apply data-driven strategies in real life, join me on this journey toward making smarter, more confident decisions every day.

  • I Have a Sinking Feeling Diablo 5 Will Be Free-to-Play.

    Recently at BlizzCon, Blizzard announced Diablo 5. I felt somewhat disappointed, and I’m sure many oldbies felt the same. Social media was full of similar reactions. It felt… wrong. Because it’s Blizzard. We still hope for that unmistakable passion for making great games, even as monetization takes a bigger role. I understand the shift, but…

  • Cover: Horror makes cheap jackpots. Do the directors behind them keep hitting, and only in horror?

    Follow horror’s jackpot directors: their later horror films hit nearly twice as often as other horror films

    Horror makes cheap jackpots. Their directors’ later horror films hit 71% of the time, versus 39% for other horror films. The findings and full deck.

  • Right of way: AI’s second battlefield

    Horsepower is AI’s first battlefield. Right of way, the permission to act for you, is the second. Why Atlas failed, and why the gates are the real story.

  • Diagram linking AI Retailers’ four capabilities to customer retention, potential margin and revenue influence, with frontier labs also expanding into workspaces, work data and Context Logistics.

    Where AI Retailers Get Their Competitive Edge

    AI prices are falling, but useful work can still cost more. AI Retailers compete by combining workspaces, accumulated data, Context Logistics and model selection. The opportunity is to deliver reliable results at lower cost—and share the savings.

  • Data workflow labeled Raw Input, Processing, Analysis, Synthesis, Organization, and Organized Outputs

    This is my local machine’s agent setup

    Details can be found on my github: hchoi41/agentsetup: This git contains my device’s local agent setup This uses the multi-LLM orchestration workflow explained in my previous post: Commander’s Intent. This agent_setup is a portable toolkit for configuring AI coding agents on different computers: the local hub stores the current skills, instructions, governance rules, and scripts;…

  • Commander’s Intent

    Lesson 1: work offline first, then sync I tried running Claude Cowork and Claude Code across three devices while the working files sat in OneDrive. It kept breaking. On Windows, placeholder files, partial sync, and mid-write collisions are enough to corrupt a WAL SQLite setup when `-wal` and `-shm` files get out of step. Now,…

Subscribe

Enter your email below to receive updates.

QuoteS

“Keep it simple, stupid”

~ Kelly Johnson