I will design an evaluation and scoring model for your ai

If you're building or using an AI application, how do you actually know it's working well? I help define what "good" looks like and build the framework to measure it.

I design evaluation frameworks for AI outputs (LLM responses, generated content, model predictions, etc.), including:

1. Defining clear success criteria and scoring rubrics
2. Building weighted scoring models (in spreadsheet or structured format)
3. Designing test sets / sample cases to evaluate against
4. Identifying failure modes and edge cases
5. Translating vague quality goals ("make it sound better") into measurable criteria

This is ideal for teams evaluating prompts, comparing model outputs, QA-ing AI-generated content, or building internal quality benchmarks.

Not sure what tier fits? Message me first this work is scoped to your specific use