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Articles on AI delivery, architecture, and implementation details.

Short posts that explain what changed, why it changed, and what tools or patterns were involved.

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AI delivery

How I move an AI demo toward production

The practical steps behind turning a prompt-driven prototype into something maintainable, observable, and safe to ship.

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Architecture
2026-06-15
Choosing an AI stack without overengineering it

A compact framework for picking providers, orchestration tools, and hosting without adding unnecessary complexity.

Quality
2026-06-13
Guardrails I use when AI touches a real product

A privacy-safe look at evaluation points, constraints, and review gates that keep AI behavior predictable.

Foundations
2026-06-09
Engineering practices that make AI easier to ship

Why solid software foundations matter even more once model behavior is part of the application.