The Science half
Writing at the edge of design & AI.
Essays on creativity, design, science and human-centered AI — written to be read the way they were designed, not flattened to fit someone else's template.
How Do You Know an AI Answer Is Good Enough to Act On?
An analyst asks an agent a question about a product category and gets back a clean answer: here are the strongest item affinities, here is what is dif…
Read → Jul 13, 2026 · InteractiveThe AI Cognitive Quadrant
Where rules, ML, GenAI, and agents actually fit — and what kind of human oversight each one really demands.
Read → Jun 27, 2026From Digital Twin to Phygital Twin: Codifying Process Knowledge into Agentic Robotic Process
We’ve all seen LLM agents codify a person’s skills into a digital twin. But a lot of what makes work actually work isn’t a skill you can hand off — it…
Read → May 31, 2026From Super Teammate to MetaTwin: Toward Self-Building Digital Twins of Expertise
An open-source skill pack: withsuper-analyst, that could learn a dataset and produce a rules playbook. super-optimizer, which tunes a playbook against…
Read → Feb 2, 2026Test-Time Training: TTT-Discover
Most of our experience with Large Language Models (LLMs) involves a frozen brain. You send a prompt, and the model — with weights fixed in time — pred…
Read → Dec 16, 2025The New Human Roles of AI: Why Boundaries, Not Models, Define the Future of Work
The Wall Street Journal recently published an article titled “Four New Jobs That May Be in Our AI Future.” https://www.wsj.com/tech/ai/new-jobs-ai-fut…
Read → Nov 21, 2025Nested Learning for Recommender Systems: Bringing Fast and Slow Learning to Personalization
Modern recommendation systems face a paradox:
Read → Aug 14, 2025LLM-Driven Probabilistic Sampling for Human-Guided Optimization
In business, we often need to make decisions with quantitative and qualitative information. For example, setting shelf presentation levels for hundred…
Read → Jul 19, 2025Evolving LLM Prompts to Generate Customer Shopping Narratives: AI-Guided Evolution with Cohesive
In a previous article, we explored how combining large language models (LLMs) with reinforcement learning can create smarter business rules. Building …
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