- 01
Define the tool evaluation job
Treat “extract words from video” as a search job to investigate, not as proof that a SEELE feature exists. First clarify the requested job, observe current controls on a bounded test, and document workflow fit and evidence gaps. 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 failure note, and ask the claims reviewer to record temporal order before the evidence refresh.
- 02
Prepare inputs for transcription and captions
For this topic, assemble authorized audio, language and speaker context, terminology, timing requirements, and an accessibility brief. 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 brief version, and ask the policy reviewer to record destination fit before the delivery pass.
- Confirm ownership, consent, and allowed reuse Before revision, preserve the authorization record, and ask the workflow owner to record visible continuity before the scope confirmation.
- Preserve an untouched source and version history Before revision, preserve the failure note, and ask the rights reviewer to record identity consent before the scope confirmation.
- Name the reviewer and acceptance condition Before revision, preserve the evidence table, and ask the accessibility reviewer to record source fidelity before the scope confirmation.
- 03
Test observable controls for extract words from video
A bounded evaluation should inspect word accuracy, speaker attribution, time alignment, reading speed, line breaks, and export format. 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 continuity note, and ask the continuity editor to record camera logic before the scope confirmation.
- 04
Review evidence, safety, and policy boundaries
Automated text requires human review; do not promise perfect accuracy, translation, accessibility, or platform acceptance. 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. Before delivery, preserve the continuity note, and ask the factual editor to record control availability before the bounded test.
- 05
Approve a reversible production handoff
Before advancing “extract words from video”, listen against the source, correct names and specialist terms, inspect timing, and have a fluent reviewer approve delivery. 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 brief version, and ask the source custodian to record claim scope before the production checkpoint.