The AI Daily Brief · Friday, September 25, 2026
Jev is being used to analyze large collections of existing data, such as archives of emails, social media posts, or documents, at unprecedented speed and low cost. For instance, Matthew Burman analyzed 724 live ads to identify hooks, formats, and offers for a mere 90 cents, and later scored those ads against 37 buyer personalities.
“A first category is analyzing what you already have. A second category is searching by meaning. A third category is triaging what comes in. A fourth category is checking work against your rules. A fifth category is speeding up AI agents, and a sixth category is responding instantly.”
“One example was that from Matthew Burman that we just talked about, where he analyzed and broke down 724 live ads from 37 brands to identify every hook, every format, every offer, CTA.”
“It took 40 seconds and 90 cents worth of tokens for Burman to get the full breakdown of those 724 live ads.”