

Operations teams do not need another chat window; they need a router. GPT-6 Luna Decisions is an OpenAI decision model on Decisions API that reads shared text, JSON, or images and returns typed answers with probabilities, making it a natural fit for the triage, prioritization, and handoff steps that keep an operation moving.
Consider inbound support. A message lands, optionally with JSON account context or a screenshot. GPT-6 Luna Decisions returns a Choice answer — the platform example routes a duplicate-charge complaint to billing with 96 percent probability — plus a Score for urgency on an ordered scale. Your automation reads data.result.answers, files the ticket, sets the priority, and escalates only when the probability spread is thin. The same pattern runs lead scoring, agent routing, order exception handling, and internal request triage, with up to 8 questions batched per call.
Scale is not the constraint. A 1,050,000-token context window swallows long threads and bulk exports; multimodal input takes up to 4 images per request at 4 MiB and 16 MP each; and the A/B rule playground tests two routing rule sets against up to 25 labeled cases before you change production behavior. The contract — including 2 to 255 Choice options and 2 to 10 Score levels — was verified against OpenRouter in October 2026.
Economics are published to the decimal: $0.10 per million input tokens upstream, 1500 credits ($0.15) per million on the platform, one-credit minimum, 100 welcome credits for new accounts, and failed calls release their reservation. For no-code and low-code stacks, a single webhook to GPT-6 Luna Decisions replaces the keyword rules and manual queues your ops runbook grew out of.
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