AI content pipelines

I built connected production workflows for AI UGC, clipping, Reddit content, and static ads, with shared review and scheduling.

Historical reported figures; account coverage changed from 14 to 22.

Selected original editor state; creative shown inside the interface is AI generated. Open image
My role

AI content and operations systems lead

Context

Unblocked Brands · Content production and operations

My part in the work

  • Built generation lines for four content formats.
  • Connected research and briefs with brand-guideline grading and scheduling.
  • Kept human approval in the release workflow.

Four paths, one review process

The production work covered AI UGC, long-form clipping, Reddit content, and static ads. Source inputs and briefs fed generation, followed by brand-guideline checks and scheduling. The screenshots show selected real editor and review states, rather than one asserted continuous project.

Original clipping-review interface. Open image

The operating rhythm

The historical workflow moved scheduling into a weekly session followed by roughly 15 minutes of daily review. Posting volume increased alongside account coverage, so the change describes operating scale rather than an isolated experiment.

Original review interface. Open image

Delivered change

28 → 90 posts per day

Historical reported figures; account coverage changed from 14 to 22.

Weekly scheduling + about 15 minutes of daily review

Historical reported operating workflow.

Evidence & scope

  • Historical operating figures retain changing account coverage.
Portfolio image