AI Testing Center
How to prove a non-deterministic system behaves. Every topic carries theory, practice, examples, checklists, templates, sample reports and tools.
Testing software that gives a different answer every time breaks the contract every other kind of testing relies on. This center covers how to do it anyway — properties instead of assertions, rubrics instead of golden outputs, pass rates instead of single runs. Each topic opens with a guide; checklists, templates and sample reports build out around it.
Functional Testing
Does it do the thing it was specified to do.
Regression Testing
Catching what a change quietly broke.
Prompt Testing
Treating prompts as versioned, testable production assets.
Agent Testing
Testing systems that plan and act, not just respond.
Hallucination Testing
Detecting confident output that is not grounded in anything.
RAG Testing
Retrieval quality, grounding and attribution.
Model Evaluation
Choosing and defending a model with evidence.
Security Testing
Injection, exfiltration and abuse paths specific to AI.
Red Team
Adversarial testing as a discipline.
Benchmarking
Comparable, reproducible measurement.
Test Automation
Scaling evaluation without scaling headcount.
Performance Testing
Latency, throughput, cost per request.
Chaos Engineering
Deliberate failure to prove resilience.