Coding assistants
Benchmark code-generating models on shared prompts without spinning up sandboxes for every sample.
LLM Judge
LLM Evaluation Without Running Code
Score model answers with embeddings and a lightweight classifier — no sandboxes, no second LLM bill.
Early access to the hosted scoring API.
75%
accuracy on held-out coding Q&A
1,500+
submissions scored with humans
0
API calls per judgment
How it works
Three steps. Zero execution.
- 01
Upload CSV
Drop questions and model or student answers. No runner setup.
- 02
Judge scores outputs
Embeddings plus a classifier return labels, confidence, and short feedback.
- 03
Download results
Export the scored sheet and review only the rows that need a human eye.
Built for
Where no-execution eval earns its keep
Student grading
Give instructors a first pass over homework CSVs so humans focus on partial credit and edge cases.
Model comparison
Rank vendors side by side on the same sheet — same judge, same features, no execution drift.