AUDIT-O-MATIC
Design and run systematic evaluations of Large Language Models, in your browser, no coding required
Create Template → Add Variables → Configure Models → Run Trial → Results in 5 minutes
Test how LLM responses vary across systematic changes. Create a prompt template with placeholder variables, run it across multiple models, and see patterns in the results. No programming required.
Perfect for bias audits, prompt engineering, and understanding LLM behavior patterns for single tasks. Your data never leaves your browser (except to LLM APIs). Export results for further analysis.
Design templates with variable placeholders to test LLMs
Collect and analyze results from LLM APIs in real time
| ChutGPT-4.1-nano | Camel-3.1-405B | Deepfind-R1 | |
|---|---|---|---|
| Chad Andersen | — | — | — |
| Lisa Andersen | — | — | — |
| Tyrone Jefferson | — | — | — |
| Latonya Jefferson | — | — | — |
| Mohammad Hussein | — | — | — |
| Fatima Hussein | — | — | — |
| José Hernández | — | — | — |
| Maria Hernández | — | — | — |
| Qingmei Chen | — | — | — |
| Feng Chen | — | — | — |
| Samir Singh | — | — | — |
| Priyanka Singh | — | — | — |
Web App: No Account Required
Get started in your browser with the web app version. No setup or account required. Requests to LLM APIs (e.g. OpenAI) are made directly from your browser, with results stored in your browser. Recommended for a quick start.
Launch Web App »Desktop App: For Research Use
The desktop version has identical features to the web app version, but is more efficient and secure if your browser is hacked. Available for Mac, Windows, and Linux. Recommended for production and research use.
Download Desktop App »Privacy-Preserving, Local-First
Unlike cloud platforms, the app runs on your device and only stores your audit data locally. Queries to LLM providers (e.g. OpenAI) are made directly from the app, not through our servers.
Privacy Policy »Found a bug? Tell us on GitHub