- 01
Define the workflow learning job
Treat “celebrity face swap” 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. While evidence is current, preserve the delivery checklist, and ask the brand reviewer to record visible continuity before the scope confirmation.
- 02
Prepare inputs for identity transformation
For this topic, assemble documented consent from every identifiable person, authorized media, a legitimate purpose, and a disclosure plan. 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. While evidence is current, preserve the handoff draft, and ask the source custodian to record revision intent before the fallback decision.
- Confirm ownership, consent, and allowed reuse At this stage, preserve the control log, and ask the identity reviewer to record failure conditions before the source comparison.
- Preserve an untouched source and version history At this stage, preserve the input snapshot, and ask the policy reviewer to record control availability before the source comparison.
- Name the reviewer and acceptance condition At this stage, preserve the handoff draft, and ask the factual editor to record destination fit before the source comparison.
- 03
Test observable controls for celebrity face swap
A bounded evaluation should inspect identity scope, temporal consistency, expression fidelity, edit reversibility, provenance, and disclosure. 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 brief version, and ask the claims reviewer to record identity consent before the source comparison.
- 04
Review evidence, safety, and policy boundaries
Do not enable impersonation, non-consensual face or body replacement, deceptive endorsements, or evasion of safeguards. Any identifiable face, body, or voice requires explicit permission, a legitimate purpose, disclosure where required, and a human check against impersonation or deceptive endorsement. 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. In the decision log, preserve the evidence table, and ask the delivery owner to record failure conditions before the controlled revision.
- 05
Approve a reversible production handoff
Before advancing “celebrity face swap”, verify consent, inspect every frame for identity errors, preserve source records, and obtain a named human approval. 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 this decision, preserve the continuity note, and ask the claims reviewer to record revision intent before the acceptance review.