Notes on building things properly.
Practical perspectives on relational schemas, AI document pipelines, and scalable software systems — written by engineers to be technically actionable, not to fill a content calendar.
Where AI Automation Actually Pays Off (and Where It Doesn't)
Not every repetitive task is worth automating with AI. Here's how to tell the difference between a good automation candidate and an expensive mistake.
“Tasks worth automating with AI tend to be repetitive, judgment-light, and built on inputs that are messy but consistent in structure.”
Choosing Between Custom Software and Off-the-Shelf Tools
Off-the-shelf software is usually the right first move. Here's how to know when it stops being enough.
When a Spreadsheet Becomes a Liability: Signs You Need an ERP
Spreadsheets are a fine database until they aren't. Here are the signs the transition has already happened.
Automating Spreadsheet-Heavy Operations Without Breaking Them
You don't have to rip out your spreadsheets to automate around them. A practical path from manual to automated.
SEO for Software Companies: What Actually Moves the Needle
Most SEO advice is generic. Here's what specifically matters for a company selling software or technical services.
Why Your Product Video Needs an Engineer in the Room
The best product videos get the technical details right. Here's why that requires more than a video team.
Have a system question or technical debate?
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