- 01
Define the workflow learning job
Treat “reptilian face” 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 approval, preserve the delivery checklist, and ask the delivery owner to record disclosure clarity before the source comparison.
- 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. Before approval, preserve the handoff draft, and ask the rights reviewer to record control availability before the release review.
- Confirm ownership, consent, and allowed reuse For this decision, preserve the control log, and ask the policy reviewer to record reversal cost before the controlled revision.
- Preserve an untouched source and version history For this decision, preserve the input snapshot, and ask the creative lead to record human approval before the controlled revision.
- Name the reviewer and acceptance condition For this decision, preserve the handoff draft, and ask the brand reviewer to record failure conditions before the controlled revision.
- 03
Test observable controls for reptilian face
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. For this decision, preserve the brief version, and ask the identity reviewer to record camera logic before the controlled revision.
- 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. During review, preserve the evidence table, and ask the creative lead to record camera logic before the acceptance review.
- 05
Approve a reversible production handoff
Before advancing “reptilian face”, 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. Before approval, preserve the continuity note, and ask the identity reviewer to record destination fit before the fallback decision.