Knowledge Graph Layer

Domain Expertise Mapping

How does the AI know that "Greek" means "Docker"? This page visualizes the **Retrieval Augmented Generation (RAG)** map. We don't just feed the AI stories; we map civilizations to specific technical documentation silos.

Select a Civilization Source:

Compute & Containerization

ID: greek_knowledge_base

ACTIVE

Trigger Keywords

"Prothesis""Dianoia""Logos"

Retrieves Context From:

Docker

Linux Kernel

Bash/Shell

Binary Logic

Logic Mapping Definition

"The domain of structure, boundaries, and logical definitions. When the AI detects 'Greek', it loads the Docker documentation and System Architecture knowledge base."

The Artifact Layer

From Human Domain Expertise → Retrievable Intelligence

If you have domain expertise in your head today, this is how we turn it into something the AI can reliably use tomorrow. It’s not magic—it’s a file.

japanese.domain.json

{
  "domain": "Japanese",
  "mental_model": "Harmony, flow, space",
  "core_concerns": [
    "Latency sensitivity",
    "Message sequencing",
    "Tone of response"
  ],
  "system_bias": {
    "prioritize": ["clarity", "handoffs"],
    "avoid": ["abruptness"]
  }
}

The Domain Source File

This is where human expertise becomes explicit. It is the cornerstone of the system.

How It Becomes Retrievable

Once stored, the system automates retrieval.

Store

Expertise is saved as structured data.

Index

System extracts terminology & tradeoffs.

Map

Linked to relevant silos and APIs.

Route

Seamlessly activate on demand.

The Expert's Payoff

Your expertise becomes actionable intelligence.

If you know...

How systems should behave under pressure...

Which trade-offs matter more than others...

We automatically...

Adjust response strategies based on your specific pressure parameters.

Apply your trade-off logic to ensure smooth, scalable execution.

You’re Not Training the AI. You're Governing It.

You are not teaching the AI facts. You are giving it the foundation to solve your problems with speed and precision, automatically.

or explore existing schemas below