- 01
Define the workflow learning job
Treat “automatic image” 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 decision history, and ask the creative lead to record source fidelity before the workflow transfer.
- 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 revision, preserve the reference set, and ask the accessibility reviewer to record claim scope before the acceptance review.
- Confirm ownership, consent, and allowed reuse Before revision, preserve the handoff draft, and ask the identity reviewer to record evidence freshness before the rights check.
- Preserve an untouched source and version history Before revision, preserve the decision history, and ask the policy reviewer to record destination fit before the rights check.
- Name the reviewer and acceptance condition Before revision, preserve the control log, and ask the accessibility reviewer to record human approval before the rights check.
- 03
Test observable controls for automatic image
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 test fixture, and ask the creative lead to record disclosure clarity before the rights check.
- 04
Review evidence, safety, and policy boundaries
Third-party names, pricing, features, access, and specifications require current dated first-party verification. Use only authorized media, separate observed behavior from marketing language, and check current first-party documentation for any product-specific claim. 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. For the working record, preserve the reference set, and ask the continuity editor to record source fidelity before the production checkpoint.
- 05
Approve a reversible production handoff
Before advancing “automatic image”, 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 reference set, and ask the factual editor to record input provenance before the delivery pass.