- 01
Define the workflow learning job
Treat “take this picture in full body action figure” 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. At this stage, preserve the control log, and ask the delivery owner to record failure conditions before the release review.
- 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. At this stage, preserve the claim inventory, and ask the factual editor to record input provenance before the source comparison.
- Confirm ownership, consent, and allowed reuse Before revision, preserve the claim inventory, and ask the workflow owner to record failure conditions before the source comparison.
- Preserve an untouched source and version history Before revision, preserve the continuity note, and ask the delivery owner to record human approval before the source comparison.
- Name the reviewer and acceptance condition Before revision, preserve the delivery checklist, and ask the continuity editor to record reversal cost before the source comparison.
- 03
Test observable controls for take this picture in full body action figure
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 revision, preserve the failure note, and ask the accessibility reviewer to record destination fit before the source comparison.
- 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 moving on, preserve the input snapshot, and ask the accessibility reviewer to record format readiness before the fallback decision.
- 05
Approve a reversible production handoff
Before advancing “take this picture in full body action figure”, 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. For this checkpoint, preserve the review copy, and ask the claims reviewer to record visible continuity before the evidence refresh.