2026-08-31
Who Captures the Productivity Gains from AI?
AI can make employees and service providers more productive without leaving them with the economic gain. An analysis through salaries, hourly billing, and competition.
Read →11 min
Business-first AI transformation
I've engineered software for 25+ years. With AI's power behind me, I build more ambitiously than ever — and write, from the trenches, about what AI actually changes.
I write about how businesses can use AI, software, data, and process redesign to create measurable value — starting with the business problem, not the technology.
I've been building software with a range of programming languages and technologies since 1998, designing reliable, scalable system architectures.
My perspective spans writing code, leading technology teams, and working hands-on across sales, marketing, and field operations.
I care less about what AI can do in theory than which processes and outcomes it can improve in a real business.
Essays
Start here
Recent writing on AI, software, and business.
2026-08-31
Is Your Data Ready for AI? Start With the Decision It Must Support
Before choosing a model, test whether the information needed for a specific decision is usable, current, authoritative, and worth preparing.
Read →11 min
2026-08-31
Is Your AI System Actually Delivering Business Results?
A good model response, a completed task, and a measurable business result are three different outcomes. Here is how to evaluate each one.
Read →7 min
More writing
How Much Authority Should You Give an AI System?
Read →6 min
When Does Enterprise AI Actually Need RAG?
Read →6 min
Why Sales and Other Departments Keep Clashing
Read →17 min
When Do You Actually Need an AI Agent?
Read →6 min
Does Enterprise AI Really Need Fine-Tuning?
Read →7 min
When Does Process Automation Actually Need AI?
Read →5 min
Start With the Business Problem, Not the AI Model
Read →5 min
How to Do Content Pruning: A Real-World Case Study
Read →13 min
Integrating One Bank Is Easy. Keeping Forty Running Is Not.
Read →8 min
Preserving API Quality in AI-Assisted Development
Read →8 min
Testing a Button, Treating an Entire Website Redesign as a Sure Thing
Read →8 min
Managing Technology and Transforming the Business Are Not the Same Thing
Read →5 min
Technical writing
Technical writing
Hands-on notes and tutorials on Go, Linux, Docker, web fundamentals, and more—with new technical writing added as I publish it.
Why I Retired Some of My Technical Articles
Read →4 min
Do You Need a Paid CMP for Google Consent Mode v2?
Read →19 min
CI/CD for PHP: A Comprehensive Guide
Read →8 min
PHP-ML in a PHP Application: A Bounded Decision Guide
Read →6 min
PHP Certifications in 2026: What Is Official, What Is Useful, and What to Avoid
Read →8 min
Headless WordPress: What It Is and When the Extra Work Pays Off
Read →7 min
Is JWT Safe or Is It Vulnerable?
Read →7 min
Hello World: A New Multilingual Journey
Read →1 min
Business-first AI transformation
Browse by topic
01
AI where it changes the business
What matters is not the model, but the decision, workflow, or economics it changes.
Explore AI writing →02How work actually moves
Processes, handoffs, information, and decisions are where operational friction becomes visible.
Explore business writing →03Engineering that can carry the work
Architecture, infrastructure, and implementation determine whether an idea becomes dependable.
Explore engineering writing →Business-first AI transformation
How I evaluate a change
I first try to understand what needs to change. I choose the technology only after the problem, expected benefit, and cost are clear.
- 01
Goal
What should improve: cost, speed, capacity, quality, or revenue?
- 02
Current state
How does the work happen today, and where are time, money, or knowledge being lost?
- 03
Looking ahead
Even if I do not act today, I consider likely scenarios. A small preparation now can prevent far more work later.
- 04
Priority
Which change is most likely to produce a meaningful result?
- 05
Benefit and cost
Is the expected gain worth the cost, effort, and risk?
- 06
Workflow
What should be removed or changed before anything is automated?
- 07
Approach
Would AI, software, an existing product, or a process change be the best fit?
- 08
Implementation and measurement
Put the change into practice and measure what actually improves.
Business-first AI transformation
Field notes
Short accounts from systems built in the real world, with the details that made them useful.
Lead operations
100K annual leads
Medical Tourism Lead Management: How We Moved from Manual Routing to a Real-Time Sales System
A real-time decision-support and sales-management platform for routing, payments, and management visibility.
Read →Patient conversations
One year of multichannel chat
What We Learned Building a Healthcare Chatbot for International Patients
What emerged from building and operating a chat system for patients across channels.
Read →Small infrastructure
$5/month small VPS
Why I Run camiler.org on a Single VPS
A modern open-source infrastructure assembled with a small server and Cloudflare.
Read →About
I build software, lead technology teams, and write about what I learn.
This site is where I share notes on AI, software, the products I build, and the problems I encounter at work.