- 01
Define the workflow learning job
Treat “relighter” as a search job to investigate, not as proof that a SEELE feature exists. First turn the query into a repeatable sequence with explicit inputs, review points, and a reversible handoff. Write the intended audience, source owner, desired change, protected details, reviewer, and delivery condition before selecting any interface or model. That brief keeps the evaluation specific and makes an unsupported assumption visible early. Before moving on, preserve the continuity note, and ask the model evaluator to record source fidelity before the production checkpoint.
- 02
Prepare inputs for quality enhancement
For this topic, assemble the best authorized source, a diagnosed defect, protected details, target display conditions, and an acceptance threshold. Record where each source came from, who may use it, and what must remain unchanged. Use a small representative asset for the first pass, keep the original untouched, and define a fallback route so experimentation cannot silently become the production master. Before moving on, preserve the input snapshot, and ask the model evaluator to record revision intent before the editorial approval.
- Confirm ownership, consent, and allowed reuse At this stage, preserve the failure note, and ask the production lead to record human approval before the reversible handoff.
- Preserve an untouched source and version history At this stage, preserve the authorization record, and ask the brand reviewer to record source fidelity before the dated decision.
- Name the reviewer and acceptance condition At this stage, preserve the rights memo, and ask the continuity editor to record evidence freshness before the reversible handoff.
- 03
Test observable controls for relighter
A bounded evaluation should inspect detail recovery, noise handling, sharpness, color stability, temporal consistency, and preservation of intentional texture. Change one meaningful variable at a time and record the date, workspace, account context, input, setting, result, and failure. Topic selection can prioritize the question, but it does not establish availability, quality, speed, licensing, or a supported SEELE workflow. At this stage, preserve the claim inventory, and ask the factual editor to record identity consent before the dated decision.
- 04
Review evidence, safety, and policy boundaries
Enhancement cannot restore facts absent from the source, and this page makes no resolution, speed, or quality guarantee. Use only authorized media, separate observed behavior from marketing language, and check current first-party documentation for any product-specific claim. For third-party products, competitors, plans, models, and platform rules, attach a verification date and primary source; an absent statement is an evidence gap rather than proof of a limitation. While evidence is current, preserve the decision history, and ask the creative lead to record identity consent before the acceptance review.
- 05
Approve a reversible production handoff
Before advancing “relighter”, compare at native size, inspect faces and text, review motion when applicable, and reject invented or oversharpened detail. Document remaining manual work, unresolved evidence, destination requirements, and the person accepting the result. The handoff should preserve sources and test notes, allow correction, and avoid promises about output quality, turnaround, business performance, publishing, or access that the evidence does not support. For a controlled test, preserve the decision history, and ask the claims reviewer to record human approval before the controlled revision.