ALIGN is an AI alignment evaluation framework designed to assess how well an AI-generated response aligns with a user's intent, emotional tone, and contextual expectations. Built for single-turn interactions, ALIGN offers a structured breakdown across six key dimensions of conversational quality.
Coming soon on Streamlit Cloud – Stay tuned.
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Six-Pillar Evaluation System
- Intent Matching
- Relevance
- Completeness
- Clarity
- Adaptability
- Engagement
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Visual Score Breakdown
- Streamlit-powered GUI with intuitive horizontal bar display
- Final score averaged and presented out of 10 (with decimal precision)
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Single File Simplicity
- Lightweight and easy to integrate
- Self-contained scoring logic for rapid iteration
git clone https://github.com/mbayers6370/ALIGN-framework.git
cd ALIGN-framework
python -m venv align-env
source align-env/bin/activate # On Windows: .\align-env\Scripts\activate
pip install -r requirements.txt
streamlit run align.py
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Usage
1. Launch the Streamlit app:
streamlit run align.py
2. Input a user message and a proposed AI response.
3. Click “Evaluate Response” to view alignment scores and the final score.
---
Scoring Logic
Final Score is calculated as a simple average of six individual scores:
• Each category is scored on a scale of 0–10
• Final score is rounded to the nearest tenth
• No weights or penalties—just honest math
⸻
Vision
ALIGN aims to set a new standard for evaluating AI-generated dialogue—not just by fluency, but by empathy, relevance, and intent. It’s a first step toward emotionally intelligent AI evaluation.
⸻
License
MIT License. Free to use, remix, and build upon.
⸻
Author
Developed by Matthew Bayers
# ALIGN Framework
**ALIGN** is an AI alignment evaluation framework designed to assess how well an AI-generated response aligns with a user's intent, emotional tone, and contextual expectations. Built for single-turn interactions, ALIGN offers a structured breakdown across five core dimensions of conversational quality.
---
## Live Demo
> Coming soon on [Streamlit Cloud](#) – Stay tuned.
---
## Features
### Five-Pillar Evaluation System
- **Intent Matching**
- **Relevance**
- **Clarity**
- **Tone Match**
- **Engagement**
### Visual Score Breakdown
- Streamlit-powered GUI with intuitive horizontal bar displays
- Final score averaged and presented out of 10 (with decimal precision)
### Lightweight & Modular
- Single-file scoring logic for rapid iteration
- Easy to integrate or extend into larger evaluation pipelines
---
## ⚙ Installation
```bash
git clone https://github.com/mbayers6370/ALIGN-framework.git
cd ALIGN-framework
python -m venv align-env
source align-env/bin/activate # On Windows: .\align-env\Scripts\activate
pip install -r requirements.txt
streamlit run align.py- Launch the Streamlit app:
streamlit run align.py
- Input a user message and a proposed AI response.
- Click “Evaluate Response” to view detailed alignment scores and the final score.
The final score is a simple average of five individual scores:
- Each dimension is scored from 0 to 10
- Final score is rounded to the nearest tenth
- No category is weighted—it's honest, balanced evaluation
ALIGN is a step toward evaluating AI not just by grammar or coherence, but by human-centered understanding: how well a model responds with empathy, emotional alignment, and conversational momentum.
We believe the future of AI evaluation is as much about emotional resonance as it is about factual relevance.
MIT License. Free to use, remix, and build upon.
Developed by Matthew Bayers