AI Testing
Evaluate and compare AI model outputs. Run A/B prompt tests, measure response quality, detect hallucinations, compare models side by side, and build evaluation datasets.
FLRAI Failure Pattern AnalyzerHOT
Detect hedging, refusal, truncation, repetition, and format violations in LLM output.
CHKAI Prompt Debug ChecklistHOT
Automatically check your prompt against 7 prompt-engineering best practices.
DFFAI Prompt DiffNEW
Compare two prompts side by side with word-level diff highlighting.
VERAI Prompt Version ComparatorNEW
Compare 2–4 prompt versions with stats: tokens, words, characters, lines.
FAQ
- Why should I test my AI prompts?
- AI models are non-deterministic — the same prompt can produce different outputs. Testing across multiple runs, models, and variations helps ensure your prompts are robust and produce consistently good results.
- What is hallucination in AI?
- Hallucination refers to when an AI model generates confident-sounding but factually incorrect or fabricated information. Testing tools help identify prompts that are prone to hallucinations.
- How do I compare two prompts?
- Enter both prompt variants and the same input. The tool runs both and shows the outputs side by side, making it easy to identify which version performs better for your use case.