Geek-AI is a self-hosted, full-stack AI content-generation platform rather than a research project. The Go/Gin backend (api/) exposes REST and SSE endpoints for chat, image generation, video generation, music generation, PPT creation, and WeChat official account integration, while the Vue 3 frontend (web/) provides desktop (Element Plus), mobile (Vant), and admin interfaces. The system does not train models; it aggregates third-party AI providers, including OpenAI-compatible chat APIs, MidJourney, DALL-E, Jimeng, Suno, Luma, Sora, Veo, Kling, MiniMax, and Wan. The architecture is a deployable monolith with a service layer, GORM/MySQL persistence, Redis-backed queues for asynchronous generation jobs, LevelDB for temporary data, and a suite of provider abstractions for storage, SMS, payment, moderation, and video generation. Key entry points are api/main.go (Uber FX dependency injection), web/src/main.js, and docker/docker-compose.yaml. Authentication uses JWT sessions in Redis, and monetization is built in with credit/power billing, recharge products, orders, redeem codes, invite rewards, and payment providers including Alipay, WeChat Pay, Stripe, and EPay. The codebase contains several genuinely reusable patterns: a storage-agnostic uploader manager, a generic Redis task queue, adapter interfaces for heterogeneous video providers, and schema-driven frontend parameter forms. At the same time, there is meaningful technical drift: duplicated desktop/mobile frontend implementations, large god-components such as ChatPlus.vue, hardcoded credentials in docker configuration, placeholder moderation providers, and no frontend unit tests. The project is actively maintained and production-oriented, but reuse should focus on the isolated abstractions rather than the application shell.