Promotion and clipping
Automation Promotion and Clipping.
Long-form content becomes clips, captions, posting queues, assignments, and performance loops.
I.Why this matters001 / 003
Value
Long-form content becomes clips, captions, posting queues, assignments, and performance loops.
The promotional surface area expands without losing quality control. Every clip has a source, angle, owner, status, review decision, and performance record.
01
Ingest source video, transcript, campaign angle, and platform requirements.
02
Identify clip candidates, hooks, timestamps, captions, and usage notes.
03
Route assignments to editors, clippers, or AI-assisted production paths.
04
Add review and QA checkpoints before publishing or payout.
05
Track post URLs, performance, winner patterns, and next assignments.
II.Controls and proof002 / 003
Operating controls
The controls are part of the deliverable, not a footnote.
Proof mechanism
Usage rights and source attribution stay attached to the asset.
Proof mechanism
Clipper/editor work can be reviewed before payout.
Proof mechanism
Performance is tracked by hook, angle, platform, and owner.
First install
Bring the current version of this workflow. We will map the smallest valuable build.
Darko AI builds promotion systems around podcasts, sales calls, webinars, creator footage, public appearances, and long-form videos: clip selection, editor assignment, QA, captions, posting logs, payout notes, and reporting.
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