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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AI Implementation for Services Businesses
A practical guide to bringing AI into your company — from first pilots to production systems.
Read the guide Pillar GuideEngineering Leadership
A field guide for technical leaders — from hiring your first engineer to scaling an organization.
Read the guideDon’t Hire an AI Expert Until You Answer These 2 Questions
If AI could create real leverage for your business but you do not have time to climb the learning curve, outside help is usually worth it.
5 Habits That 10x Founder Productivity
Five habits that help founders protect focus, move faster, and spend their best hours on work that compounds.
Your AI Setup Won’t Scale
When every engineer has a different AI workflow, teams lose context, consistency, and the ability to improve together.
The Engineer’s New Job
AI changes the highest-leverage work in engineering: stop patching one-off outputs and start improving the system that produces them.
How to Safely Automate the Work Nobody Wants to Do
The best early AI automations are the repetitive jobs everyone avoids—if you design the guardrails before you hand over the work.
Claude Is Not an AI Strategy
Why companies overpay for AI when they confuse a model vendor with a business system.
SOPs Aren’t Enough Anymore
Static process docs help teams scale, but AI makes something more powerful possible: a living context layer that keeps work moving when key people step away.
What Is a Fractional CTO?
A practical guide to what a fractional CTO does, when to hire one, what it costs, and how to compare fractional CTO support with advisors, consultants, and interim CTOs.
AI Doesn’t Modernize a Codebase. Systems Do.
Legacy software doesn’t become AI-enabled through ad hoc tool use. It changes when teams redesign how work enters, moves through, and improves the engineering system.
The Real Risk for First-Time AI Founders
In AI, the biggest early-stage mistake is not being wrong. It is burning through your chances to learn, pivot, and find the right wedge before the market moves.
You Built It With AI. Now You Have to Support It.
AI can collapse the path from idea to prototype, but it does not eliminate the cost of performance, security, maintenance, or support.
The Competitive Advantage of Keeping Your Promises
Reliability is rare enough to feel premium. When you keep your word—especially when it costs you—you build trust competitors can't easily match.