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Build, buy, or skip: deciding what to own in an AI product

Build-vs-buy is usually argued as build-vs-buy. The useful version has a third option, and asks a different question about each piece.

What a technical due diligence actually reads

A diligence report is not a code review. Here is what the review actually opens, in what order, and why the boring files decide the answer.

Designing AI agents you can actually trust with tools

Why prompt-level guardrails are not enough, and how a two-plane architecture, least-privilege tools, and audit trails make agents safe to give real permissions.

Making LLM features reliable: failover, structured outputs, and evals

Model calls fail, drift, and cost money. The engineering that turns a demo into a dependable production feature.

From idea to launch: shipping real AI products as a small studio

What it actually takes to take an AI product end to end — architecture, launch, and self-hosted operations — without a big team.