Content Queue Automation — Case Study | brdz.net
Case study

One photo drop — a week of posts, not a week of busywork

Creator operations

Confidential 3–4 weeks Python FastAPI OpenAI API SQLite Telegram

Challenge

A content team spent most of the week on mechanics: rename files, write similar captions, copy them into four places, hit publish at the “right” hour. Creative work waited until the calendar was already on fire.

Solution

A small studio tool: upload a batch of images, let vision AI describe them, generate caption options with an anti-repeat check, approve or edit, then build a queue and export a dated pack (files + a sheet) for the scheduling tool they already use. Telegram tells the team when an export is ready.

Results

The mechanical part of the week collapsed to a review pass. People spend time on the caption that actually matters, not on copy-paste. A week of slots can leave the studio in one sitting instead of four evenings.

Batch upload → approve → export Captions with less repetition Hours back to actual writing