Raw output is not enough to review the work
Raw AI output and log-style messages leave reviewers doing too much detective work: finding the prompt, inspecting the payload, comparing fields, and deciding what actually needs human judgment.
The live console should surface the AI output that matters, keep prompt and context nearby, and make structured data readable before a reviewer is asked to decide.
Structured payloads become review surfaces
When JSON is submitted, 4loop can map the payload into a reviewer-facing screen. The workflow can match an existing review layout or generate one that presents the submitted fields in buyer language.
Review screens can bind editable JSON, structured data widgets, checklist items, prompt context, schema notes, and evaluation criteria into one view, so reviewers inspect the work without needing to understand template internals.
Live visibility supports decisions, not just monitoring
The goal is not to turn every event into a dashboard. It is to show enough decision context for a reviewer to understand what was submitted, what was surfaced, and what the human is being asked to judge.
From there, the workflow can move to approve, edit, reject, or return with feedback, keeping the live view connected to the decision instead of stopping at monitoring.