🟢 Build an AI Wardrobe App with GPT-6 Astra! | Beginner Series Ep#22 (Typesafe AI/Jev, AI Workflows)

摘要

實作一個 AI 衣櫃應用，示範如何整合 GPT-6 Astra、Clerk 認證與 Convex 工作流，實現虛擬試穿與 AI 造型師功能。觀眾可學習如何構建包含預算監控與成本效益分析的完整 AI 產品架構。

This video builds an AI wardrobe app with virtual try-on and styling features using GPT-6 Astra, Clerk, and Convex workflows.

摘要、重點與章節標題由語言模型整理，細節（誰說的、數字、先後）可能有誤；要引用請以原始內容為準。

重點

• 實作 AI 衣櫃應用，整合虛擬試穿與 AI 造型師功能。
• 使用 Clerk 處理認證與訂閱，並監控 AI 成本效益。
• 介紹 TypeSafe AI 與 Jev，展示基於機率的決策流程。

章節

依話題轉折切分，標題由 AI 產生

1. 00:00Intro & AI Wardrobe App Demo
2. 12:48Demo: Importing Clothes & Virtual Try-Ons
3. 17:58Demo: AI Stylist & Background Workflows
4. 24:06Tech Stack & Build Overview
5. 28:18Setting Up Codex with GPT-6 Astra
6. 29:15Installing Clerk, Convex & Vercel Plugins
7. 30:09Writing the Initial App Prompt
8. 36:45Vercel eve: Building the AI Agent
9. 57:20Verifying Clerk & Convex Authentication
10. 1:04:41Reviewing the AI Agent Code
11. 1:07:43Setting Up Convex Workflows
12. 1:17:09Planning the Wardrobe, Outfits & AI Stylist
13. 1:24:48Planning Billing, Credits & AI Costs
14. 1:31:19Choosing Image Models & Subscription Rules
15. 1:35:58Stress-Testing Pricing & Profit Margins
16. 1:43:12Implementing the App Plan
17. 1:45:54Introducing TypeSafe AI & Jev
18. 1:50:31Jev Playground: Probability-Based Decisions
19. 1:53:45Installing TypeSafe AI
20. 2:05:56Designing the Outfit-Ranking Experiment
21. 2:10:00Testing Authentication & Billing with AI
22. 2:11:28Finding UI Inspiration with Mobbin & Dribbble
23. 2:23:24Testing the Wardrobe App End to End
24. 2:29:48Reviewing the First Jev Results
25. 2:37:09Improving Virtual Try-On Backgrounds
26. 2:46:30Jev vs. LLM: Speed & Cost Results
27. 2:54:12Retesting & Refining Try-On Images
28. 3:04:31Deploying to Vercel & Enabling the Waitlist
29. 3:12:08Testing the Live App & Workflows
30. 3:15:21Adding Jev to the AI Stylist
31. 3:26:07Jev Integration: Latency & Design Trade-Offs
32. 3:28:38Testing Jev Outfit Recommendations
33. 3:37:30Final Recap

提到的工具與公司

• GPT-6 Astra
• Clerk
• Convex
• Vercel
• TypeSafe AI
• Jev

適合誰看

適合希望學習如何構建包含 AI 工作流與商業模式的實作型開發者。

摘要依據

依據

自動字幕

為什麼排在這裡

人氣

0.91

新鮮

0.93

在主題頁與搜尋結果裡，名次由相關、人氣、新鮮三個分數決定；這一頁沒有搜尋的關鍵字，所以沒有相關分數。排序怎麼算

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