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5 articles
Data extraction with LLMs: turning messy text into tables
Turning unstructured text into clean rows and columns is where LLMs quietly shine — if you define the schema, validate every field, and plan for the messy inputs.
Measuring quality: how to set up a basic eval
Vibes don't scale. A small, honest evaluation turns 'this feels better' into a number you can trust — here's how to build one from scratch.
Build a simple RAG pipeline: a conceptual walkthrough
Retrieval-augmented generation, built up one stage at a time. No magic, no specific stack — just the shape of the pipeline and the decisions that matter.
Cost control 101: keeping an AI feature affordable
AI features bill by the token, and small habits compound into large invoices. Here are the durable levers for keeping cost in line without gutting quality.
Your first AI agent: a minimal, honest build
An agent is a model in a loop with tools. Build the smallest honest version, understand why it works, and learn where it goes wrong before adding ambition.