| | --- |
| | 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 |
| |
|
| | ```python |
| | from app import run_module |
| | |
| | result = run_module( |
| | module="StrategyMemo", |
| | prompt="Should we expand operations to Region X next quarter?" |
| | ) |
| | |
| | print(result) |
