PromptLab Pro
A research-grade platform for evaluating LLM prompts using measurable metrics rather than intuition.
Platform Overview
PromptLab was built to solve a core problem in prompt engineering — inconsistency. The same prompt can produce different outputs across runs, making evaluation unreliable.
This system replaces intuition with structured evaluation using metrics like determinism, similarity, and instruction adherence. It enables systematic testing of prompts under controlled conditions.
Key Capabilities
Multi-run Variability Analysis
Analyzes variance and output drift across repeated model generations.
Temperature Sweep Testing
Maps determinism curve across temperature intervals 0.0 to 1.5.
Prompt A/B Comparison
Side-by-side programmatic diffing of instruction responses.
Determinism Index (DI)
Quantified score for repeatability across production prompt cycles.
Hallucination Risk Detection
Evaluates grounding and deviation from provided reference context.