Notes on building practical AI and software.
Field notes, frameworks, and essays from real implementation work — on AI adoption, engineering, growth systems, and building founder-led technology in the Philippines and abroad.
What AI adoption actually looks like inside a Philippine SME
Forget the demos. Real AI adoption starts with one workflow, one team, and a clear answer to what it's replacing. A field account of getting AI into daily operations — and what made it stick.
Speed is easy. Maintainability is the hard part. How I keep AI-assisted builds shippable past the first demo.
Most "CRM problems" are workflow problems. A framework for fixing the motion before blaming the tool.
The most useful AI question isn't "which model?" — it's "where does work actually slow down?"
On the gap between knowing how to build software and helping a whole business actually use it.
Every new tool promises to connect things. Here's how to make sure it actually reduces friction.
A build log: what it took to move an internal agent from clever demo to something the team relies on.
Why the opportunity here is implementation, not imitation — and where local businesses should start.
New writing and build-in-public notes when there's something worth sharing. No schedule, no filler.