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Practical guides to AI infrastructure, model routing, API costs, and building reliable AI products.

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13 articles

Jul 28, 2026

Reduce AI inference spend with better model selection, caching, prompt discipline, routing, and observability—without degrading the user experience.

Ethan Park 8 min read

Jul 22, 2026

Why production AI systems need health-aware routing, capability checks, and observable fallback—not just a list of backup providers.

Ethan Park 6 min read

Jul 15, 2026

A production-minded checklist for moving an existing application to an OpenAI-compatible gateway with less risk.

Ethan Park 5 min read

Jul 8, 2026

A framework for comparing model rates, cached tokens, output costs, retries, and real workload efficiency on equal terms.

Sofia Reyes 7 min read

Jul 2, 2026

A practical framework for choosing routing signals and balancing model cost, response speed, availability, and output quality.

Ethan Park 7 min read

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