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Writing and resources

A grounded place to learn in a fast-moving field.

This is a growing collection for people trying to build useful AI products, adopt AI responsibly, or understand how an AI-mediated market is changing their work.

01

Start here

A guided path through the practical questions that come before tools: the problem, the workflow, the evidence, the risks, and the human decision points.

Begin with the throughline →
02

Field notes

Ongoing essays about building with AI, learning the full stack, governing what we create, and bringing a real product into the market.

Read on Substack ↗
03

Practical guides

Checklists, frameworks, and decision aids designed to help a thoughtful operator take the next step without becoming an AI specialist.

Collection in progress

04

Research shelf

Annotated studies, standards, and references worth reading — with scope and limitations preserved rather than reduced to a headline.

Collection in progress

Field notes

Read and subscribe on Substack

Substack is where new writing appears first. This site provides the durable structure; the newsletter carries the ongoing conversation.

Visit Marty’s Substack ↗

From the library

Published resources

July 12, 2026AI does not treat every business the sameThe Princeton research established that AI can be moved. What it did not establish is that a coffee shop, a consultant, and a SaaS company each need a different playbook to move it. This is why business-type calibration matters.June 26, 2026Why AI Business Accuracy mattersAI has changed discovery from ranking pages to forming answers. That makes business accuracy, claim support, and right-fit recommendations as important as visibility.

On the workbench

Questions worth working through carefully

  • What AI-assisted coding removes — and what it does not
  • The distance between a prototype and a market-ready product
  • Decision boundaries and human review in AI applications
  • Hallucination, bias, drift, and evidence
  • Why a good product is not automatically discoverable
  • What small founders should know about data, testing, deployment, and governance