A prompt is a request boundary. A production job is the work the customer expects to finish. It can span several models, tools, checks and retries, with each step depending on state from the last one.
Gateways and model routers help at the request boundary. Production control needs a record that stays with the job from its first step to its final result.
Give the job a stable structure
Repeated work forms lines inside a workflow. A security investigation, for example, can move through intake, evidence gathering, classification, a decision check and a final report. Moji expresses that line as a priced multi-step structure.
The customer's agents still reason and use tools inside each step. Moji holds the operating structure around them: readiness, budget, acceptance checks, recovery state and the run record.
Catch the problem where it occurs
End-of-run evaluation can say that a job failed. A step-level acceptance check can identify where it failed. The recovery can then return to that step while the completed state and independent work remain intact.
This distinction matters in a live queue. Operators can see which jobs are running, waiting, held or complete, then open one line to inspect the exact step that needs attention.
Use the report to decide what runs next
The run record rolls up cost, quality, attempts and timing. At workflow level, the team sees weekly capacity, committed spend, first-pass yield, exception rate, p95 cycle time and budget reliability. Those measures support the next operating decision and the next expansion of autonomy.
Read the product flow or start with one production workflow.