The model is the easy part. What building Dantiva taught me

说明与用途

Dantiva 使用 Google 模型构建了付费 AI 视频服务，实施了令牌分类账、幂等作业，并在网页和 Telegram 上提供统一体验。产品已推出订阅，并计划添加第二个提供商。

问题

Building a paid AI video generation product that integrates Google models, handles payments, user accounts, and token ledger while ensuring compliance and consistent UX across web, Telegram bot, and Mini App.

结果

Dantiva launched a paid AI video service with a robust token ledger, idempotent job handling, and unified user experience across web and Telegram, achieving early revenue and setting the stage for multi‑provider expansion.

工作流

• 1. User signs up via Google or email on web, or via Telegram ID/mini app payload. 2. User selects template and uploads photo. 3. Prompt rewritten by Gemini model. 4. Video generation request sent to Veo 3.1 (Fast/Lite) via Cloud Run. 5. Ledger reserves tokens, tracks job ID, ensures idempotency. 6. On completion, tokens captured; on failure, refunded. 7. Result stored in library, displayed across all interfaces. 8. Admin panel handles support, refunds, and legal center. 9. Subscriptions managed manually, with plans and top‑ups. 10. Future: add second provider, automatic renewal, interview users.

证据

Generation costs real money on every call, and a call can fail halfway. So the balance is not a number you subtract from. It is a ledger: reserve tokens when a job starts, capture them when the video arrives, refund them if the provider fails.

来源

All the templates start from a photo of a person. Google Veo blocks image to video with recognizable people.

来源