ALIGN Framework

Assessing Language Intent & Guidance Neutrality

ALIGN is an AI evaluation framework that measures how well an AI-generated response aligns with a user’s intent, tone, and contextual expectations. It doesn’t just check grammar or coherence, it evaluates understanding.

Built for single-turn or multi-turn evaluation, ALIGN can analyze individual interactions entered manually, or process large-scale JSON datasets containing hundreds of user–AI exchanges. It dissects every conversation across five pillars of conversational quality, combining semantic similarity, zero-shot NLI reasoning, and emotion-aware modeling into one interpretable composite score.

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Why it Matters

Modern AI models sound fluent but often miss the point. ALIGN bridges that gap by quantifying how human-centered a response feels, not just if it’s correct. It’s designed for teams building, tuning, or evaluating conversational agents that need to go beyond accuracy into alignment and empathy.

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Live Demo

Try the full ALIGN Framework live here:
https://align-framework.streamlit.app/

(First run may take a moment while models download.)

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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

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⚙️ Installation

# Clone the repository
git clone https://github.com/mbayers6370/ALIGN-framework.git
cd ALIGN-framework

# Create a virtual environment
python -m venv .venv
source .venv/bin/activate       # macOS/Linux
# .venv\Scripts\activate        # Windows

# Install dependencies
pip install -r requirements.txt

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🚀 Run the App

streamlit run align.py

Then open the local URL displayed in your terminal (usually http://localhost:8501).

To deploy it on Streamlit Cloud:

1. Push this repo to GitHub (which you already have).
2. Visit share.streamlit.io and connect your GitHub account.
3. Select this repository.
4. Choose align.py as the entry point.
5. Streamlit will automatically install dependencies and host the live app.

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Scoring Logic

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

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Vision

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.

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License

MIT License. Free to use, remix, and build upon.

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Author

Developed by Matthew Bayers