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How I AI · Monday, September 28, 2026

Cost-Effective AI for Large-Scale Data Classification Demonstrated with Jev

The speaker highlights Jev's capability for classifying vast amounts of unstructured data cost-effectively, citing an example where analyzing thousands of GitHub pull requests (PRs) for a marketing site cost only $0.011 cents. A larger analysis of 2,000 PRs for an app cost just 9 cents and took approximately two minutes.

companyChapHD app

The tape

3 quotes
“The number one thing I have been using it for is classification of vast sets of unstructured data. That would have been annoying to classify, but is very high value.”
“So I first ran it on our marketing site, which only has like 112 PRs. It cost me $0.011 cents, I guess they wouldn't round down that 0.01 penny.”
“But then I ran it on my ChapHD app, which has about 2,000 PRs to date in this calendar year. Because it has a lot more PRs, it cost me a lot more money. And by a lot more money, I mean 9 whole cents. It took probably about 2 minutes.”
Heard on How I AI — “Jev for beginners: how to use it and what to build”, published Monday, September 28, 2026. Heardvine summarizes and quotes with attribution and timestamps, and links to the original everywhere.
Transcribed via Gemini audio transcription · $0.04