---
language:
- en
license: apache-2.0
pipeline_tag: text-classification
tags:
- substrate
- DSLO
- meaning-engine
- signal-ecology
- substrate-logic
- semantic-analysis
- custom-architecture
- contextless
- experimental-model
- non-contextual-model
- meaning
---
# Contextless Meaning Engine v0.1

## Summary
A deterministic, context‑free meaning engine.  
This model does **not** use a context window, history, or conversation state.  
Each call operates only on the current input string and produces a structured meaning‑state output.

## Intended Use
- Demonstrate contextless, substrate‑style meaning processing.  
- Provide a simple, inspectable engine for scientific and architectural work.  
- Serve as a base for DSLO / Signal Ecology substrate development.

## How It Works
- **Input:** a single text string  
- **Output:** a JSON‑like structure with  
  - `tone`  
  - `intent`  
  - `complexity`  
  - `keywords`  

No past messages are stored or considered.  
No embeddings, attention, or autoregressive prediction.

## Example
Input:
> "Good day, my mentor, I have a question."

Output (approximate):
```json
{
  "input": "Good day, my mentor, I have a question.",
  "meaning_state": {
    "tone": "inquisitive",
    "intent": "seeking_information",
    "complexity": "moderate",
    "keywords": ["good", "day", "mentor", "question"]
  }
}