Jev Analyzes Skincare and Wellness Ads

Jev analyzed 1,968 live skincare and wellness ads, answering 33 questions about each for 64,944 typed answers. The author reports the run took 36 seconds and cost 17 cents.

View on X cost17 centstime36 seconds, real time

Hamza Ansari@hamzaansari09𝕏

We gave @typesafeai's Jev 1,968 live skincare & wellness ads and asked it 33 questions about each one. 64,944 typed answers. 36 seconds, real time, no cuts. 17 cents. Hook type, selling angle, creator-led or not, health claims that would need proof. Every ad, every question. What would you ask it?

Sep 22, 2026X postsView on X

The questions covered hook type, selling angle, whether an ad was creator-led, and health claims that would need proof. The author says the run was real time and had no cuts.

Also filed under Research & data

GraphRAG with Swappable Laya and Jev Models
This project is an agentic GraphRAG pipeline with swappable local Laya or cloud Jev decision models.
Jev Structured Decision Model Demo
Jev is TypeSafe AI's structured decision model. The repository contains research notes and an interactive Cloudflare Worker demo for it.
Jev Question Workflows for Python
Hunch is a Python library that maps Jev Choice, Score, and Noul questions to classification, ranking, extraction, verification, and DataFrame workflows.
Checks AI Visibility for YC Companies
Jev checked company names across 6,030 ChatGPT answers to buyer questions about 1,005 YC companies, producing 37,636 verdicts. The author reports that it took 40 seconds and cost $0.38.