Blog Posts

I turned a spare Mac into a private video-analysis pipeline for better meeting notes. The useful part was not finding one perfect model—it was learning what to test, what to trust, and what to throw away.

The first automation may save only sixty seconds. Its real value is the understanding, infrastructure, and future capabilities it unlocks.

The most valuable question before building a feature is not how to build it. It is what problem the request is trying to solve.

A deterministic pipeline that turns JSON into pixel-perfect ad images — and a lint gate that refuses to render an ad whose numbers don't add up. A pattern for generating visual content the way you generate software.

How to set up your project so an AI agent can move fast — and you can trust what it ships. A practical guidebook for engineers shifting to AI-driven development.

Team leadership lessons from a multi-brand e-commerce migration on flow, ownership, boundaries, and upfront planning.

The real bottleneck in AI-assisted development is no longer prompt quality. It is context management. Here is why orchestrator-worker systems outperform single-agent flows, and how ClawConnect puts that pattern to work.

When our team's coordination platform shut down, we didn't just replace it — we built an intentional network of AI agents that work together like a team.

Code generation is fast, but speed without stewardship creates fragile systems. The most valuable engineering skill right now is shaping the systems that produce the code.