- 01
Define the workflow learning job
Treat “avatar asistente ia diseño visual” 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. While evidence is current, preserve the review copy, and ask the source custodian to record evidence freshness before the dated decision.
- 02
Prepare inputs for avatar creation
For this topic, assemble an authorized identity brief, visual references, intended performance, disclosure plan, and delivery context. 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. While evidence is current, preserve the evidence table, and ask the source custodian to record camera logic before the bounded test.
- Confirm ownership, consent, and allowed reuse For this decision, preserve the test fixture, and ask the brand reviewer to record destination fit before the fallback decision.
- Preserve an untouched source and version history For this decision, preserve the review copy, and ask the release approver to record temporal order before the fallback decision.
- Name the reviewer and acceptance condition For this decision, preserve the brief version, and ask the channel editor to record camera logic before the fallback decision.
- 03
Test observable controls for avatar asistente ia diseño visual
A bounded evaluation should inspect likeness boundaries, stylization, expression range, wardrobe continuity, and identity disclosure. 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 handoff draft, and ask the workflow owner to record failure conditions before the fallback decision.
- 04
Review evidence, safety, and policy boundaries
Never use a real person's likeness without permission or present a synthetic performance as an authentic endorsement. 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. For the working record, preserve the handoff draft, and ask the release approver to record reversal cost before the dated decision.
- 05
Approve a reversible production handoff
Before advancing “avatar asistente ia diseño visual”, confirm identity consent, visual consistency, appropriate disclosure, and suitability for the intended audience. 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 evidence table, and ask the model evaluator to record destination fit before the source comparison.