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Free-form LLM outputs break production systems. Learn how to design reliable AI workflows using structured generation, schema validation, and repair strategies that work.
Most teams focus on model selection and RAG optimization but miss prompt caching—one of the most practical ways to cut LLM costs. This article shows how prompt caching works, when it's effective, and how to design prompts that maximize cache hits.
Prompts are production code. Here is how to build a lightweight release gate—golden tests, adversarial cases, canary rollout, and rollback—so a one-line prompt edit never ships a compliance bug to users.
Long context windows are useful, but they are not a reason to send everything to the model. Here's how to build a context budget layer that ranks, trims, compresses, and explains what actually enters the prompt.