Set Service Levels for Model Quality
Define one user-centered LLM service level indicator and objective for a production workflow.
The move: manage LLM behavior as a service, not as a demo. User Behavior First Start with the user-visible job. A support bot is not "up" because the API returns 200. It is up when the user gets a policy-correct answer quickly enough to use. That pushes you to define service level indicators around the workflow: grounded answer rate, useful draft acceptance, safe refusal accuracy, latency, or escalation rate. Objective Before Pressure An SLO gives the team a target and a reaction plan. It answers two questions before the launch is emotional: what level of behavior is acceptable, and what…
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in