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 for teams worldwide.
What AI adoption actually looks like inside an SME
Forget the demos. Real AI adoption starts with one workflow, one team, and a clear answer to what it replaces inside daily operations.
A practical framework for choosing the first AI use case based on business impact, workflow fit, feasibility, risk, and speed to validate.
Speed is easy. Maintainability is the hard part. How international teams can keep AI-assisted builds shippable past the first demo.
Most CRM problems are workflow problems. A framework for fixing the sales motion before blaming the tool.
The most useful AI question is not "which model?" It is "where does work actually slow down?"
On the gap between knowing how to build software and helping a business actually use it.
Every new tool promises to connect things. Here is how international teams can make sure it actually reduces friction.
A build log: what it takes to move an internal agent from clever demo to something a real team can rely on.
Why the opportunity is implementation, not imitation, and where international operators should start.
New writing and build-in-public notes when there's something worth sharing. No schedule, no filler.