metadata
license: mit
tags:
- modular-intelligence
- reasoning
- structure
- transformers
- experimental
base_model: openai-community/gpt2
pipeline_tag: text-generation
language: en
Modular Intelligence
Modular Intelligence is a lightweight reasoning framework built on top of a language model.
It provides Modules (task-specific lenses), Checkers (second-pass reviewers), Contracts (structured output sections), and optional Routing (automatic module selection).
The base model is GPT-2, but the architecture is model-agnostic—any LLM can be plugged in.
Features
Modules
Task-specific reasoning modes.
Examples:
- Analysis Note – explanation and breakdown of concepts
- Document Explainer – summaries of contracts, policies, articles
- Strategy Memo – Options → Recommendation → Risks → Next Steps
- System Blueprint – workflow / system design
- Brainstorm – structured idea generation
- Message Reply – concise responses for emails, posts, chats
Checkers
A second pass that evaluates:
- correctness
- clarity
- missing pieces
- contradictions
Contracts
Every module produces a fixed output template.
This ensures reproducible structure and reduces variance.
Router
Optional automatic module selection based on prompt classification.
Usage
Python
from app import run_module
result = run_module(
module="StrategyMemo",
prompt="Should we expand operations to Region X next quarter?"
)
print(result)