- 01
Define the workflow learning job
Treat “face video 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. Before moving on, preserve the evidence table, and ask the workflow owner to record visible continuity before the editorial approval.
- 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 moving on, preserve the review copy, and ask the workflow owner to record disclosure clarity before the bounded test.
- Confirm ownership, consent, and allowed reuse For a controlled test, preserve the delivery checklist, and ask the rights reviewer to record revision intent before the delivery pass.
- Preserve an untouched source and version history For a controlled test, preserve the reference set, and ask the model evaluator to record camera logic before the delivery pass.
- Name the reviewer and acceptance condition For a controlled test, preserve the claim inventory, and ask the production lead to record claim scope before the delivery pass.
- 03
Test observable controls for face video 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. For a controlled test, preserve the rights memo, and ask the model evaluator to record evidence freshness before the controlled revision.
- 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. At the next gate, preserve the rights memo, and ask the identity reviewer to record disclosure clarity before the editorial approval.
- 05
Approve a reversible production handoff
Before advancing “face video 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. Before moving on, preserve the rights memo, and ask the release approver to record input provenance before the final sign-off.