- 01
Define the workflow learning job
Treat “ai 修图” 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 review copy, and ask the source custodian to record input provenance before the production checkpoint.
- 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 moving on, preserve the evidence table, and ask the source custodian to record reversal cost before the production checkpoint.
- Confirm ownership, consent, and allowed reuse For a reversible workflow, preserve the test fixture, and ask the brand reviewer to record input provenance before the source comparison.
- Preserve an untouched source and version history For a reversible workflow, preserve the review copy, and ask the release approver to record identity consent before the source comparison.
- Name the reviewer and acceptance condition For a reversible workflow, preserve the brief version, and ask the channel editor to record claim scope before the source comparison.
- 03
Test observable controls for ai 修图
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 a reversible workflow, preserve the handoff draft, and ask the workflow owner to record temporal order 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. 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. In the decision log, preserve the handoff draft, and ask the release approver to record control availability before the rights check.
- 05
Approve a reversible production handoff
Before advancing “ai 修图”, 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 decision, preserve the evidence table, and ask the model evaluator to record input provenance before the final sign-off.