How to Build $10,000+ AI Apps with Jev (in 13 mins)
💥 Base44: https://bit.ly/3TBxolz 🩵 My Community: https://bit.ly/4kol0y5 🔥 Glaido: https://bit.ly/4eGoI3R (1 FREE month) *👋 Howdy* Hey, I'm Jack, I built and sold my last tech startup with a Gazillion customers, now I'm building AI startups and I share stuff that works. I quit my corporate job to do my start-up and have never looked back since. *💬 Overview* Jev being 400 times cheaper than Astra with near instant responses means whole categories of apps suddenly make commercial sense, and this video builds three of them from scratch in Base 44. Level one is a simple emoji picker and a Netflix movie decider, showing how Jev classifies and ranks without any database or Pinecone style retrieval setup. Level two is an ad library that scores hundreds of creatives against a custom rubric for cents, using Gemini to describe images since Jev only reads text. Level three is a UI component searcher that ranks 255 components against a plain English brief, the way you would with a library like 21st.dev. You and I go through the connections via OpenRouter, the model choices, and the limitations you genuinely need to know. Works for complete beginners, designers and anyone building at scale. *Links* 🤖 Base44: https://bit.ly/3TBxolz 📈 Free Resources: https://bit.ly/3RNNDLa 🔥 Glaido: https://bit.ly/4eGoI3R (1 FREE month) ⚡ Jev (via OpenRouter): https://openrouter.ai/ 🔀 OpenRouter: https://openrouter.ai/ ✨ Gemini: https://gemini.google.com/ 🧩 21st.dev: https://21st.dev/ 🌲 Pinecone: https://www.pinecone.io/ 🕷️ Apify: https://apify.com/ ⌚️ *Stamps:* 0:00 - Jev Changes Everything 0:18 - Why Speed And Cost Matter 0:52 - Three Apps, One Platform 1:21 - Level 1 1:31 - Finding Viral App Ideas 2:15 - Emoji Picker App Built 2:22 - Netflix Movie Decider App 2:50 - Powering Apps With Jev 3:31 - Zero-Cost Search In Action 4:48 - No Database Needed 5:11 - App Goes Live Instantly 5:22 - Tweet To Shareable App 6:04 - Level 2 6:19 - Ads Scored Automatically 6:53 - Gemini Fills The Vision Gap 7:20 - Ad Library App Built 8:03 - Hundreds Of Ads Classified 8:20 - Pennies Per 400 Ads 8:32 - Real-Time Ad Strategy 9:05 - Querying Your Ad Library 10:06 - Level 3 10:19 - Plain English Finds Components 10:56 - Instant Component Indexing 11:39 - UI Component Searcher Built 12:01 - 255 Components Ranked Instantly 12:49 - Judgment Beats Keyword Search 13:10 - Live Component Search Demo 13:27 - Describe Any UI, Find It 13:51 - What's Next Learn how to use the Jev AI model with Base 44 to build a Netflix movie finder, an ad classification library and a UI component search app, with OpenRouter API keys, Gemini image preprocessing and no RAG database required. #Jev #Base44 #AIApps #OpenRouter #NoCode #AITools
