Design, validate, operate, and optimize practical LLM applications with explicit system boundaries, verification, routing, and runtime tradeoffs.
Tutorials
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The invoice climbs the moment your prototype starts running regularly. The same system prompt is reprocessed from scratch on every call. The same FAQ is…
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Here's a scenario I see constantly: an application sends every request to one frontier model. Summarize this email in two sentences? Frontier model.…
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You asked the model for JSON. You defined the schema, listed the required fields, and specified the exact types. The response came back wrapped in markdown…
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Most developers don't fail with AI coding assistants because the code is wrong. They fail because the code looks right.
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A single fast response tells you almost nothing about whether your LLM system can handle real load. The request that feels snappy in isolation is often the…
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That single distinction separates a demo from a system. When you chat with an LLM directly, you are the pipeline: you judge the output, check the facts,…
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When builders hit a multi-path LLM application, many reach for an agent. That instinct costs them. The real mechanism for most of these systems is a…
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An LLM that reads a document and returns JSON is not performing a database import. It is performing an act of reading—and reading, even by a very capable…
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