DSPyLab uses Stanford's DSPy framework to optimize your prompts automatically. Generate multiple variants, evaluate with LLM-as-Judge, and get 10x better results.
DSPyLab combines the power of the DSPy framework with an intuitive interface so you can optimize your prompts like an expert.
Uses Stanford's DSPy framework, not simulations. ChainOfThought, Predict, and more real modules.
Generate up to 5 variants with different temperatures. The system evaluates and selects the best one automatically.
Automatic evaluation of clarity, specificity and effectiveness. Scores from 1-10 for each variant.
GPT-4o, Gemini 3, O1/O3, and more. OpenAI + Google Gemini with transparent pricing.
Track tokens, costs and usage by model. Complete billing and statistics dashboard.
Save contexts, prompts and outputs as blocks. Build prompts like LEGO.
Enter the prompt you want to optimize. It can be any instruction for an LLM.
Choose the AI model and how many variants you want to generate with different temperatures.
The DSPy framework applies advanced techniques like ChainOfThought to improve your prompt.
LLM-as-Judge evaluates each variant. Select the best one or edit manually.
Start free, scale when you need to
$5 free credits on signup
$20 in credits/month
“DSPyLab transformed how I write prompts. My results improved 10x.”
Maria Garcia
AI Engineer
“The automatic variant evaluation saves me hours of trial and error.”
Carlos Rodriguez
Product Manager
“Finally I can use DSPy without configuring Python. Incredible tool.”
Ana Martinez
Data Scientist
Join hundreds of developers who are already using DSPyLab to create more effective prompts.