- 01
Define the workflow learning job
Treat “place your face on a picture” 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. During review, preserve the control log, and ask the channel editor to record temporal order before the rights check.
- 02
Prepare inputs for visual creation tools
For this topic, assemble a clear creative job, authorized references, required controls, reviewer expectations, budget context, and delivery format. 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. During review, preserve the claim inventory, and ask the identity reviewer to record reversal cost before the rights check.
- Confirm ownership, consent, and allowed reuse Before approval, preserve the claim inventory, and ask the model evaluator to record evidence freshness before the final sign-off.
- Preserve an untouched source and version history Before approval, preserve the continuity note, and ask the creative lead to record format readiness before the final sign-off.
- Name the reviewer and acceptance condition Before approval, preserve the delivery checklist, and ask the policy reviewer to record human approval before the final sign-off.
- 03
Test observable controls for place your face on a picture
A bounded evaluation should inspect input support, controllability, source fidelity, revision behavior, governance, collaboration, and handoff readiness. 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 failure note, and ask the channel editor to record disclosure clarity before the final sign-off.
- 04
Review evidence, safety, and policy boundaries
Third-party names, pricing, features, access, and specifications require current dated first-party verification. 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 input snapshot, and ask the channel editor to record failure conditions before the source comparison.
- 05
Approve a reversible production handoff
Before advancing “place your face on a picture”, use a matched test asset, record the date and account context, separate observations from claims, and document tradeoffs. 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. At this stage, preserve the review copy, and ask the continuity editor to record identity consent before the bounded test.