Revalvo
Local-first workbench for multi-model prompt evaluation and cost management
About Revalvo
Revalvo is a local-first prompt workbench for writing, running, versioning, and evaluating prompts across models. Each model answers the same prompt in parallel, with scores and response times shown side by side. It also offers 40 batch-runnable scorers covering structure, AI judgment, performance, and safety. The tool computes the cost of each run at published token prices, supports monthly budget caps, and breaks costs down by playground, tests, and AI assistant. Data is stored in the browser's IndexedDB, and keys are never uploaded or logged server-side.
Best for
Best use cases
Pre-launch prompt evaluation
Multi-model side-by-side comparison
Batch scoring and safety checks
Run cost and budget management
Features
Prompt versioning and evaluation
Write, run, version, and evaluate prompts across models.
Parallel comparison runs
Have every model answer the same prompt in parallel, showing scores, response times, and side-by-side comparisons.
Batch scorers
40 scorers that can run in batches, covering structure, AI judgment, performance, and safety.
Cost and budget
Compute per-run costs at published token prices, split by playground, tests, and AI assistant.
Pros
- Local-first: no Revalvo account or hosted database required
- Run the same prompt in parallel and compare scores and response times
- 40 batch scorers covering four categories
- Split costs per run and set monthly budget caps
Cons
- No hosted database; data relies on the browser's local IndexedDB storage