fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
Why it matters
Routing by task category and running LLMA large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.Full definition →-as-a-judge evalA repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.Full definition → continuously rather than as a one-time gate lets you swap in new models without regressions. Structured block metadata answers queries like "late tasks assigned to marketing" that keyword retrieval cannot.
