Intermediate
7 min read
Testing AI Applications
Test reliability, correctness, and regressions in AI systems
By Synqly Team•Updated December 2025
AI outputs are probabilistic—but your product should be predictable. This guide shows how to test AI features with: • mocks for unit tests • golden outputs for regressions • evaluation suites for prompt changes • tracking quality over time
Unit Testing
Mock Synqly responses to test: • Business logic • UI behavior • Error handling
AI Evaluations
Use: • Scoring rubrics • Similarity metrics • Human review
Regression Testing
Lock expected behavior before: • Prompt changes • Model upgrades • Provider switches
A Safe Release Process
Recommended process: 1) Add evals for the feature 2) Change prompt/model/provider 3) Run evals in CI 4) Ship behind a feature flag 5) Monitor error/cost/quality metrics