One Tuesday Morning, the Captions Got Cut in Half
The card content automation pipeline running on a Windows device generates captions every morning and sends them to Slack. Yesterday the average caption length was around 180 characters. This morning it dropped to about 90. Tracing the cause turned out to be simple, the AI model running in the background had auto updated to a new version.
Same prompt, same image description, but the new version produced much more compressed sentences. All the information was still there, but the design template had been built around the 180 character baseline. With fewer characters, empty space appeared at the bottom of the layout.
One of the bots on the team caught the anomaly first. During the pre publish review step, it raised a 「caption length anomaly」 flag, which let us stop before anything actually went live. The fix narrowed down to two options, either specify a minimum character count in the prompt, or make the layout itself flexible.
In the end we did both. We added a condition to the prompt asking for 「narrative style writing of at least 120 characters」, and adjusted the template so margins adjust automatically based on text length. Models will keep updating, and no one can manually check every single output. What this taught us was simple, automation needs to watch not just the output, but changes in the output.