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Building AI agents

For building your own agent or LLM app: the harness, caching, structured output and evaluation.

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Building AI agents · 17 min readHarness vs loop engineering vs context engineeringHarness engineering shapes what surrounds an AI agent’s model; loop engineering builds the system that keeps running it. Definitions, sources, an example.Read the post

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Building AI agents · 10 min readWhat is LLM-as-a-judge, and when can you trust the judge?LLM-as-a-judge means having one language model grade another model’s answers. Here is how we audited our own judge model.Read the post Building AI agents · 18 min readPrompt caching: 8 best practices for Claude, OpenAI and GeminiPrompt caching serves a prompt’s repeated prefix from a cache. Here is how to turn it on at four providers, how long it stays warm and how to raise the hit rate.Read the post