- 01
Define the workflow learning job
Treat “body swap app” 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 revision, preserve the claim inventory, and ask the workflow owner to record identity consent before the rights check.
- 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. Before revision, preserve the control log, and ask the continuity editor to record control availability before the evidence refresh.
- Confirm ownership, consent, and allowed reuse Before approval, preserve the continuity note, and ask the model evaluator to record source fidelity before the evidence refresh.
- Preserve an untouched source and version history Before approval, preserve the claim inventory, and ask the rights reviewer to record reversal cost before the delivery pass.
- Name the reviewer and acceptance condition Before approval, preserve the reference set, and ask the policy reviewer to record visible continuity before the evidence refresh.
- 03
Test observable controls for body swap app
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. Before approval, preserve the authorization record, and ask the accessibility reviewer to record format readiness before the delivery pass.
- 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. Before delivery, preserve the control log, and ask the policy reviewer to record visible continuity before the final sign-off.
- 05
Approve a reversible production handoff
Before advancing “body swap app”, 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 control log, and ask the rights reviewer to record temporal order before the editorial approval.