Field notes from the AI frontier.
Hard-won lessons on applying AI inside real businesses — from the engineers, operators, and founders doing the work at Surton.
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Stop Over-Instructing AI
AI performs best when you define the outcome and the checks for success instead of scripting every step.
SOPs are easier to build when the work happens inside the tool
A practical five-step approach for turning repeatable work into usable SOPs without adding a separate documentation project.
AI Creates Value Where Predictability Breaks Down
The biggest AI opportunity is not making software more rigid. It is giving systems enough judgment to handle work that used to depend on a person saying, 'it depends.'
A Non-Technical Guide to Getting Started with Claude Code
A practical, non-technical path to your first Claude Code workflow, from inbox triage to a reusable daily skill.
Why Your Accounting System Creates Anxiety
Traditional accounting explains last month. A better operating system helps you make calmer financial decisions today.
What 2025 Revealed About AI and the Future of Work
AI did more than speed up work in 2025. It challenged old ideas about identity, value, and what staying relevant now requires.
A Practical Revenue System for 2026
A six-part framework for turning audience attention into qualified pipeline, faster activation, and stronger retention-driven growth.
A Practical 3-Tool Rotation for AI Engineering
A simple operating model for AI engineering: use one tool for fast execution, a second for diagnosis, and a third for understanding unfamiliar systems.
The Painful Truth of Scaling as a Technical Founder
As a technical founder, growth changes your job from building software to building people. The shift is difficult, but handled well, it creates far more leverage.
Why Bootstrapping Is Still the Default for Most Founders
Starting lean creates better habits, clearer judgment, and more room to build a company on your terms.
Building a Company That Never Sleeps
A distributed team becomes a competitive advantage when handoffs, hiring, and documentation are designed to keep work moving around the clock.
The 3-Step Framework to Understand a Codebase Before You Build
A practical three-step workflow for turning unfamiliar code into shared understanding before AI accelerates the wrong work.