CASE FILE / Decision automation
Jev is insane for ad research
Jev is insane for ad research. I built a tool that scores every shot of any video ad on meta in 1.5 seconds. It runs on Maxfusion + @typesafeai I pushed 450+ ads through it in less than 3 minutes. It pulls any advertisers live video ads from Research Lab on Maxfusion. Maxfusion watches the ads and gives a forensic breakdown. Jev then judges each shot and rates the whole ad. It made 50 judgments in 1.52 seconds for $0.00028 and scored this Duolingo ad at 88. Jev is the fastest decision maker I have ever worked with.
Original post
Jev is insane for ad research. I built a tool that scores every shot of any video ad on meta in 1.5 seconds. It runs on Maxfusion + @typesafeai I pushed 450+ ads through it in less than 3 minutes. It pulls any advertisers live video ads from Research Lab on Maxfusion. Maxfusion watches the ads and gives a forensic breakdown. Jev then judges each shot and rates the whole ad. It made 50 judgments in 1.52 seconds for $0.00028 and scored this Duolingo ad at 88. Jev is the fastest decision maker I have ever worked with.
Chinese translation
杰夫对广告研究非常着迷。 我构建了一个工具，可以在1.5秒内对Meta上任何视频广告的每个镜头进行评分。 它在Maxfusion + @typesafeai上运行 我在不到3分钟的时间里就通过它推送了450多个广告。 它从Maxfusion上的研究实验室撤下所有广告商的实时视频广告。 Maxfusion观看了广告并给出了法医分析。 然后Jev对每个镜头进行评判并对整个广告进行评分。 它在1.52秒内做出了50次判断，价格为0.00028美元，并为这则Duolingo广告评分为88分。 杰夫是我共事过的最快的决策者。
What this case shows
- Use JEV as a typed, fast decision layer
- Wire probability into business rules
- Open the original post for the full demo