Jev AI
Make the small, important decisions faster.
Developer Tools·AI & Machine Learning
About
Jev AI is a TypeSafe AI System One model and developer platform for turning shared state into typed decisions with probabilities. Try the Jev model online for free with no waitlist in the Jev AI playground, or use the SDK and REST API. The platform supports classification, routing, scoring, safety checks, and agent workflows through Choice, Score, and Noul question types. Jev AI is designed to make small, important decisions faster by returning structured, probability-backed decisions rather than chat. Explore the playground, documentation, API endpoint, pricing, and showcase through the official Jev AI website. The product page includes links to the playground, API endpoint, pricing, documentation, showcase, and blog so developers can evaluate the model online and learn how to use the platform.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
The way I see competition is I think it's actually a net positive for us. What it does is help more people realize that this problem is real, educate the market, get more people to use apps. There's 5 billion people in the world with a smartphone and probably a few dozen million that have ever used a screen time app.
Competition is a net positive when you have brand — it educates the market you're trying to win
Schlenker reframes category competition as market-education rather than market-stealing. With only tens of millions of users having ever tried a screen time app out of 5 billion smartphone owners, the primary challenge is category creation, not competitive displacement. Every copycat app that launches runs ads and prompts conversations that expand the category's reach. Opal's brand, retention, and soul mean that users who try inferior alternatives and become dissatisfied will find Opal through word-of-mouth.
Very few people are going to be P95 on every single metric along the entire chain usually you're going to have a strength somewhere in the chain that you're the real outlier in that and that makes the business work even if you're below Benchmark on another metric.
No company is P95 across every metric — find the one outlier strength and build around it
Tinder compensates for high churn by being best-in-class at conversion and multi-tier monetization. Duolingo ran below-average monetization for years while building an unassailable user base. Carter's prescription: be 'good enough' across most metrics (within striking distance of P50), and identify the one metric where performance is genuinely exceptional. Benchmarks help surface which lever is already winning.
There's a play for whatever you're stuck on.
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