ORI Central
A personal knowledge system that runs on 10 databases and one rule: ask first.
Most people use AI as a chat interface. ORÍ Central treats AI as infrastructure: memory, sessions, outputs, goals, feedback, all orchestrated through agents running against a 10-database schema.
The single hard rule: destructive operations require human confirmation. Everything else runs.
Personal AI infrastructure as a living portfolio
ORÍ Central is not a project I built to show; it is the system I use to work. Every session log, output, goal, and feedback record lives in structured Notion databases, queried by AI agents I designed. It shows how I think about system design, human-AI collaboration, and sovereignty in practice.
- 10-database personal knowledge architecture
- Daily Driver Protocol: structured AI workflow
- Sensor-harvester pattern for ambient context capture
A 10-DB schema for personal intelligence
Output Log, Memory Log, Session Log, Project Registry, Goal Registry, Prompt Registry, Audit Log, Feedback Log, each with a purpose, each queryable by agents. The sensor-harvester pattern separates ambient data capture from structured retrieval.
- Schema design: 10 purpose-built databases
- Sensor-harvester architecture
- Human confirmation gate for destructive operations
Building the operating system for your own mind
What if your AI knew everything you have worked on, decided, learned, and said, not from chat history, but from a structured system you designed? That is ORÍ Central.
Tell me what draws you here
ORÍ Central touches PKM, AI agents, personal sovereignty, and systems design. What is your angle?