- 01
Define the workflow learning job
Treat “intelligent frame creation” 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 evidence table, and ask the policy reviewer to record revision intent before the controlled revision.
- 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 review copy, and ask the policy reviewer to record control availability before the source comparison.
- Confirm ownership, consent, and allowed reuse During review, preserve the delivery checklist, and ask the source custodian to record evidence freshness before the dated decision.
- Preserve an untouched source and version history During review, preserve the reference set, and ask the production lead to record failure conditions before the dated decision.
- Name the reviewer and acceptance condition During review, preserve the claim inventory, and ask the delivery owner to record disclosure clarity before the dated decision.
- 03
Test observable controls for intelligent frame creation
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. During review, preserve the rights memo, and ask the production lead to record claim scope before the dated decision.
- 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 this checkpoint, preserve the rights memo, and ask the factual editor to record revision intent before the reversible handoff.
- 05
Approve a reversible production handoff
Before advancing “intelligent frame creation”, 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 a reversible workflow, preserve the rights memo, and ask the continuity editor to record claim scope before the acceptance review.