Per-Step Settings for Triage
Understand how to define and document specific runtime settings for each step in an AI triage workflow. Learn to specify output shapes, temperature for stability or variation, output length caps, and input-length risk to prevent failures. This lesson guides you to create a single settings sheet that serves as a reliable reference for debugging, operational checks, and workflow handoff. Mastering these settings helps ensure predictable, testable AI automation under varied inputs and context constraints.
A support inbox workflow fails in two different places. Prompts can be unclear, but runs can also fail even when prompts stay constant because runtime settings push outputs toward stability or variation, or because input size collides with context limits. The boundary between a good prompt and a reliable workflow run is the settings contract that stays the same across repeats.
The support inbox workflow has four steps with different requirements. Triage must be stable and short, summarization must stay within a bounded length, draft reply can be longer and tolerate a bit more variation, and escalation note must be concise and consistent. The job now is to capture those requirements as settings and limits that can be referenced later when debugging or handing off to automation.