Media automationAI news channel

A daily YouTube news channel with no editing team

A daily news Short needs fresh stories, careful facts and a fast turnaround. We built a pipeline that does the whole job each morning, and that would rather post nothing than post something wrong.

~$0.75per day, all-in
~40 sthree verified stories
0people per video
Dailyon schedule

The challenge

Automated news is easy to get wrong: stale stories, invented details, and robotic delivery. The channel needed real reporting discipline, applied automatically.

What we built

  1. 01

    Collect

    News feeds and community sources are gathered every morning.

  2. 02

    Rank

    A fast model picks the strongest stories of the last 24 hours.

  3. 03

    Write with sources

    A stronger model writes a three-story script, checking facts against the web as it writes, and names its sources.

  4. 04

    Critique

    A policy critic reviews the script and can rewrite it twice. If it still fails, nothing is posted and the reason is logged.

  5. 05

    Render and publish

    Voice, visuals and code-drawn charts are rendered, uploaded privately, then published on schedule with the sources pinned in a comment.

  6. 06

    Reply

    Viewer comments are classified and answered automatically.

Guardrails

Results

What we learned

Authentication can quietly expire.Access granted to an app still in testing lapses after seven days, which paused publishing until it moved to a published app with permanent access.
Budget caps need exceptions.A spending pause once left a viewer's comment unanswered for 17 minutes. Replies, which cost cents, now sit outside the cap.

Under the hood

Claude (ranking, writing with web search, critic)News feedsVoice + video renderingYouTube APISupervisor with daily budgets

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