I design, develop and ship practical AI systems that cut manual work and improve margins. My focus: small, verifiable wins that go live fast, then scale. If you need a developer that knows what to build and why, let's talk.
20 Mar 2026
80,508 people told Anthropic they want productivity from AI. When pressed on why, they described wanting their lives back. Most AI products are built for the stated need. The winners are built for the real one.
15 Mar 2026
AI has compressed feature-building from months to days, making every AI feature you ship replicable in weeks. The companies winning with AI aren't shipping better features — they're building learning loops that compound with every user interaction.
4 Mar 2026
The hardest problem in agentic AI is not building capable agents — it is describing what we want them to do. Polanyi's Paradox, Goodhart's Law, and the limits of language converge to create a specification gap that no amount of engineering can close.
1 Mar 2026
Agentic AI systems degrade through context rot, compounding errors, and model drift — but human oversight erodes in lockstep. The widening gap between actual reliability and perceived reliability is the defining engineering challenge of autonomous systems.
25 Feb 2026
Google's latest research shows multi-agent coordination can actually reduce performance, challenging the industry's $52 billion bet on orchestrated AI systems and revealing why coordination complexity may be the wrong path forward.
15 Feb 2026
What happens when cognitive labour becomes infinitely delegable - Coasean boundaries dissolve, new scarcities emerge, and leverage ratio becomes the new status marker.
