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Claude Code animates a 100ms ad-auction explainer

A writer reports a 30-second animated ad-auction explainer made by Claude Code, with a coded barcode mascot, drafted keyframes and a precisely timed stopwatch.

OUR ADAPTATION

Suggested prompt

Suggested prompt written by Agents In Use, not the source author. Replace bracketed inputs and review tool permissions first.

Create an animated explainer from [verified article]. Use only [locked facts]. Follow [timestamped shot list] and [palette/fonts]. Render stills for legibility review before the MP4. Check [critical timing] in the final file.

What happened

A writer reports a 30-second animated ad-auction explainer made by Claude Code, with a coded barcode mascot, drafted keyframes and a precisely timed stopwatch.

Reported by u/Efficient-Clock337 on Reddit

How the agent did it

  1. Provide the article’s permitted facts, shot timings, palette and fonts.
  2. Have Claude plan the storyboard and draw original scene elements in code.
  3. Render keyframe drafts and review text legibility.

Where a person stepped in

The writer constrains the factual content and reviews draft stills. Their timing observation and the underlying article’s facts are not independently reproduced.

A writer gave Claude Code a detailed brief to illustrate their article about mobile advertising auctions. The agent produced a storyboard with scene timestamps and drew the visual elements in code: a walking barcode mascot representing an advertising identifier, phones, applications, bidding robots and a stopwatch.

The requested style combined sketch-like moving outlines with quick cuts, zooms and impact frames. Claude rendered draft keyframes before creating the full 1080p MP4 through FFmpeg. The author reviewed those stills and caught text that was difficult to read before the final render. The attached video metadata records a 30-second output, and the writer says the stopwatch stopped at the requested 0.100 seconds as the winning advertisement appeared.

The brief fixed the palette, fonts, shot timing and a permitted facts list. That gave the agent constraints it could check while planning and rendering, rather than asking it to invent a complete visual explanation from an open-ended topic. The author says no stock assets, specialist skills, MCP connections or manual video editor were involved. The source does not independently verify the article's advertising statistics or audience response. Its useful result is a specific animated explanation with reviewed legibility and constrained factual content, not proof that every generated claim or timing decision is correct.

Prompt
Suggested prompt (written by Agents In Use, not the author's)

Source: Reddit · u/Efficient-Clock337 on Reddit

Frequently asked questions

Which review caught a concrete problem?

Checking draft stills caught text that was difficult to read before the full render.

What constrained factual content?

The brief supplied a locked facts list and told the agent not to invent numbers; those facts still require source review.

Was a conventional editor used?

The author says no manual video editor, stock assets, MCP connection or specialist skill was used; FFmpeg rendered the coded animation.

More details

Remaining steps

  1. Correct the stills before rendering the full MP4 with FFmpeg.
  2. Check the requested stopwatch timing in the completed video.

About this account

Claude Code plans scenes, generates original graphics and animation code, renders draft frames and assembles a complete video through FFmpeg.

Firsthand account by u/Efficient-Clock337 on Reddit; original publication date verified against Reddit created_utc 1790940403 = 2026-10-02T11:26:43Z. Outcomes are the author’s reports, not independently reproduced. Suggested prompt written by Agents In Use; not the author’s original prompt.

Credit: u/Efficient-Clock337 on Reddit

Source published 2 Oct 2026

Source checked 14 Oct 2026

Tools and topics

Claude Code · FFmpeg · Programmatic animation

Ad-auction explainer · Draft keyframes · Coded mascot

Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.