Daeseon AI Factory is a multi-repository platform for building reusable backend services, AI foundations, and practical AI-powered products.
This organization is structured around three layers:
-
Backend Platform Core
Reusable Java/Spring backend foundations for SaaS-style products. -
AI Platform Core
Reusable AI foundations for RAG, agent workflows, prompt management, and AI service integration. -
Service and Product Factory
Practical MVP products built on top of the backend and AI platform cores.
Focuses on reusable backend services such as:
- usage metering
- idempotent APIs
- audit logging
- billing foundations
- shared backend services
Focuses on reusable AI foundations such as:
- RAG workflows
- agent runtime
- prompt management
- evaluation workflows
- AI service integration
Focuses on building practical products using the reusable backend and AI cores.
Example product directions:
- interview practice assistant
- resume assistant
- product map builder
- developer workflow assistant
This platform is currently in active development.
The first focus is building the backend platform core, especially usage metering, idempotent APIs, and audit logging.