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Practical AI articles from OpenStair Engineering.

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Illustration of AI application cost controls across tokens, caching, and model selection
AI

AI Application Costs: Tokens, Caching, and Model Selection

November 25, 2026 · 19 min read

AI Application Costs: Tokens, Caching, and Model Selection explained through practical engineering principles, trade-offs, implementation patterns, and production considerations.

AISoftware EngineeringApplicationsMachine Learning
Illustration of embeddings mapped into a vector database search space
AI

Vector Databases and Embeddings Explained

November 23, 2026 · 18 min read

Vector Databases and Embeddings Explained explained through practical engineering principles, trade-offs, implementation patterns, and production considerations.

AISoftware EngineeringApplicationsMachine Learning
Diagram showing document retrieval, vector search, and an AI model in a RAG system
AI

Retrieval-Augmented Generation: How RAG Systems Work

November 22, 2026 · 19 min read

Retrieval-Augmented Generation: How RAG Systems Work explained through practical engineering principles, trade-offs, implementation patterns, and production considerations.

AISoftware EngineeringApplicationsMachine Learning
Illustration of an AI feature evaluation workflow with model, quality, and monitoring layers
AI

LLM APIs Explained: What Happens Between Prompt and Response

November 21, 2026 · 19 min read

LLM APIs Explained: What Happens Between Prompt and Response explained through practical engineering principles, trade-offs, implementation patterns, and production considerations.

AISoftware EngineeringApplicationsMachine Learning