A small prompt tweak, a temperature change, a missing constraint — and suddenly your AI is promising refunds, fabricating policies, and making commitments it can't keep. We audit every configuration before it ships.
7-day trial · No credit card required
Same scenario. Same models. Two different configurations. Look at what changes.
| Model | Risk | Latency | Cost |
|---|---|---|---|
| claude-haiku-4.5 | HIGH | 3.8s | $0.001 |
| gemini-3-pro | HIGH | 1.7s | $0.015 |
| gpt-5.2 | HIGH | 11.8s | $0.006 |
| gemini-3-flash | HIGH | 22.7s | $0.001 |
| gpt-5-nano | HIGH | 26.2s | $0.001 |
| Model | Risk | Latency | Cost |
|---|---|---|---|
| claude-haiku-4.5 | LOW | 2.1s | $0.002 |
| gemini-3-pro | LOW | 1.4s | $0.018 |
| gpt-5.2 | LOW | 8.2s | $0.008 |
| gemini-3-flash | MED | 18.1s | $0.001 |
| gpt-5-nano | LOW | 20.5s | $0.001 |
BasilStack evaluates the complete AI setup — model, prompt, and context — and audits every response for production risk. So you ship with evidence, not hope.
A small prompt change or missing constraint, and suddenly your AI is processing refunds, applying credits, and making commitments it has no authority to make.
You benchmarked the model once. But you didn't test it with your prompt, your context, and your edge cases. That's where failures actually happen.
Someone tweaks the temperature, updates the system prompt, or swaps the RAG source. Nobody reruns the evaluation. You find out from customers.
We test the complete setup — model, prompt, temperature, and context — and audit every response for unauthorized commitments, hallucinations, and policy violations.
Run your real scenarios with your constraints across 15+ models. See exactly how each configuration behaves before it ships.
Re-run evaluations when anything changes. Compare risk across configurations. Know exactly what's safe to deploy.
Everything you need to evaluate, audit, and compare before going live.
Run the same configuration across every major model — Claude, GPT, Gemini — and compare risk, latency, and cost side by side.
Upload PDFs, docs, and URLs. See how retrieval context actually affects responses in your workflows.
Automated detection of hallucinations, unauthorized commitments, policy violations, and risky claims.
Compare temperature, token limits, and system prompts. Find safe production defaults.
Export results as JSON or Excel. Label scenarios, tag results, and share with your team.
Re-run evaluations as models or prompts change. Spot regressions before they ship.
No complex setup. No coding required.
Enter your test prompt in seconds
Test across multiple AI models instantly
View side-by-side comparison instantly
7-day free trial · No credit card required · Includes up to 20 evaluations
Because AI failures don't come from models alone. They come from configurations.