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Operational review

Signal → cause → change

TITLE ≠ FOOTAGE
  1. TITLE ≠ FOOTAGE
    Signal

    A harmless title can sit above footage that crosses the brand-safety line.

    Root cause

    The deterministic gate reads titles. It never watches the video.

    Change

    The publish gate stays with a person who must watch the finished asset.

What I built

I connected sourcing, screening, editing, and copywriting into one workflow. It delivers finished options each morning, remembers why work was rejected, and leaves the final publish decision to a person.

Complete workflow

the review of 2026-08-18

Yesterday's feedback becomes memory2026-08-18

The first real review

23in the calendar
1published
8sent back

All eight were comedy; the news line lost nothing. So the hard part is picking, not producing.

Yesterday's recorded rejection reasons become today's starting context.

Titles, review states, and the feedback-loading rule come from the live system; the counts are from its first real review pass.

System design

Critical controls

  1. 01

    Feedback becomes system memory

    YesterdayRejectionsPersistSystem memoryTodayLoad first

    Each run starts with fresh model context, so the learning cannot live in chat history. I persist the reasons real work was rejected and load them before the next run.

  2. 02

    Safety is deterministic where it can be

    ScriptFixed safety rulesModelContext and contentPersonWatch, then decide

    Hard exclusions are enforced by code the creative model cannot loosen. The model is used where context and taste matter, not where a stable rule is more reliable.

  3. 03

    Publishing remains a human decision

    TitleRule passedFootageNot yet seenPublish gatePerson watched

    A title-only filter cannot see every risk in footage. Human review is therefore not ceremonial approval; it is the only step that has actually watched the final video.

In operation

Operating results

  • 5/dayvideo and image-and-text deliverables
  • D-1→Dhuman feedback becomes system memoryYesterday's review improves today's selection

Titles, review states, and the feedback-loading rule come from the live system; the counts are from its first real review pass.