01 / Systems
AI systems
I treat AI as a product layer. Data, context, rules and actions are designed around the model within a controllable system.
How it works
I connect models — self-hosted or API-based — to verified knowledge, tools, rules and application boundaries. I define what the model can propose, what must be validated and what may trigger an action. The system also includes data, controls and clear responsibilities.
The architecture
- 01 Data
- 02 Context
- 03 Model
- 04 Inference
- 05 Validation
- 06 Action
Technologies
- vLLM
- Qwen
- LLaMA
- Python
- FastAPI