Work Productin-progress
Eval Platform
Evaluate and benchmark AI model outputs with systematic testing frameworks
Created: Dec 10, 2024Updated: Jan 1, 2025
Eval Platform - Live Preview
The Problem
As AI applications become more complex, teams struggle to systematically evaluate model outputs. Manual testing is inconsistent and doesn't scale.
The Solution
A structured evaluation platform that enables systematic testing, comparison, and benchmarking of AI model responses.
Key Features
- •Structured evaluation frameworks
- •Side-by-side model comparison
- •Custom scoring rubrics
- •Test case management
Build Timeline
Dec 10, 2024
Project Started
Core evaluation framework design
Dec 25, 2024
Comparison Mode
Side-by-side model output comparison
Jan 1, 2025Latest
Custom Rubrics
User-defined scoring criteria
How It Works
- Create test cases — Define inputs and expected behaviors
- Run evaluations — Test against multiple models or versions
- Score results — Apply custom rubrics or automated scoring
- Compare and iterate — Analyze differences and improve prompts
Current Status
Active development. Core evaluation and comparison features are functional.
Questions? Contact me