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Systematically evaluate AI design capabilities across different application types

Product builders, designers, and entrepreneurs evaluating AI design tools

2-4 hours per comprehensive evaluation

What Success Looks Like

Clear understanding of AI tool strengths, weaknesses, and appropriate use cases with numerical ratings for different design categories

Steps to Execute

1

Define test categories (personal website, SaaS app, mobile app)

2

Prepare reference images and specific prompts for each category

3

Execute single-prompt tests to establish baseline capabilities

4

Use iteration features to test feedback responsiveness

5

Rate results numerically (1-10 scale) for comparison

6

Document specific strengths and failure modes

7

Test edge cases and complex requirements

Checklist

Reference images collected for each test category
Prompts written with specific aesthetic and functional requirements
Screenshots captured of all results
Numerical ratings assigned with reasoning
Iteration attempts documented
Failure modes and limitations identified

Inputs Needed

  • Access to AI design tool
  • High-quality reference images
  • Clear test objectives
  • Evaluation criteria and rating system

Outputs

  • Capability assessment across application types
  • Numerical ratings for tool performance
  • Documentation of strengths and limitations
  • Recommendations for optimal use cases

Example

“Testing Gemini 3.0 across personal website (9/10), SaaS dashboard (8.5/10), and mobile app (8.3/10) to establish baseline capabilities and identify optimal use cases”