CONTENT CREATION
Caption QA gate for localized demo clips
On request, reviews the auto-generated captions of a clip set for translation quality and timing issues.
How it runs
The automated pipeline, trigger to output.
- TriggerRequest to QA a localized clip set
- ActionLoad caption tracks and source transcript
- LogicAgent scores each market's captions pass or fail
- LogicBranch on whether any clip failed
- OutputFile failing clips as a Linear review issueLinear
What it does
Acts as a quality gate between caption generation and publishing. An agent reviews each market's captions for mistranslations, awkward phrasing, brand-term errors, and obvious timing drift, then either clears the set or holds it and routes the failing clips to a human.
When to use it
Use when machine-translated captions go out unreviewed today and you have had embarrassing errors slip into a market. This catches them before they publish.
How it works
- 1A request to QA a clip set triggers the agent.
- 2It loads each localized caption track and the source transcript.
- 3For each market, the agent judges translation fidelity, brand-term correctness, and segment timing, scoring each clip pass or fail with reasons.
- 4A logic branch checks whether any clip failed.
- 5If all pass, the set is marked QA-cleared. If any fail, the failing clips are filed as a Linear issue with the agent's notes for a human reviewer.
Set it up
What you configure once, before turning it on.
- 1Connect LinearIssues, projects, cycles, triage.
- 2Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 3Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 4Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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