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Notes on software control, vendor risk, and prototype readiness
Practical writing on software projects, vendor evaluation, maintainability, workflow design, AI-built prototypes, and realistic automation.
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What building an MCP App in a real Deno + Fresh product looks like
AI chat gets much more useful once it stops explaining software and starts opening it. These are the build notes from making that work in a real Deno + Fresh invoicing product.
From formula to production in a few hours: what a tiny mortgage app taught me about AI-assisted delivery
A small mortgage calculator became a practical case study in modern delivery: formula validation, disposable prototypes, design handoff, constrained AI coding, preview deployments, and the senior judgment still needed to ship something production-worthy.
AI Is Still Cheap. The Bad Takes Are Expensive.
AI cost stories spread fast, but the interpretation is often weaker than the number itself. For serious users, the tools are still cheap.
AI-Native Delivery Is a Team Sport
Most teams adopted AI inside engineering first. The bigger shift is cross-functional: leadership, product, design, QA, and pre-sales all need a tighter artifact chain if delivery is supposed to get faster.
Stop Overpromising: Use AI to Translate Proposals into Technical Reality
AI is useful long before implementation starts. It can help teams turn proposal language into concrete components, edge cases, assumptions, and estimate drivers before they commit to fantasy scope.
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