Scorable replaces manual vibe checks with automated, calibrated judges that block hallucinations before customers see them.
No sign up required · 100 free evals/day
Before
Sure! You can return pretty much anythingHallucination within 30 days, including sale and clearance itemsPolicy violation. We'll refund you right awayUnclear once we receive the item.
After
Full-price items can be returned within 30 days of delivery for a full refund. Sale items are eligible for exchange only. Clearance items are final sale. Refunds are issued within 5–7 business days.
Scorable scores every AI response with a plain-language justification. No digging through traces. No waiting for a user complaint. Just a clear picture of what your AI is doing, right now.
The problem
You shipped an AI feature. Users are talking to it right now. But you have no way to know if it's hallucinating, violating your policies, or just giving bad answers. You find out when someone complains.
When the AI gives a wrong answer, it's your problem. But you have no way to catch it before the customer does. Neither do your developers. You're accountable for something nobody can measure.
You can vibe-code an entire app in a weekend. But the moment your AI starts answering users, the magic breaks. It hallucinates, contradicts your docs, and your coding agent can't tell you why, let alone fix it.
You know your AI needs evaluation, but the tools look like they were built for ML researchers. So you tried prompting an LLM to grade itself and got scores that change every time you run them. Now you're stuck between overkill and unreliable.
How it works
Tell Scorable what you want to evaluate in plain language. It generates the evaluators for you automatically.
Use Scorable's skill to drop the judge into your AI pipeline in under two minutes. Works with any LLM or framework.
Scorable surfaces issues by criticality and frequency so you know exactly where to focus. Gate deployments, block bad responses, or just track trends over time.
Beyond prompt-based judging
Prompting an LLM to judge another LLM is easy to set up and hard to trust. Scorable solves the problems that make raw LLM judges unreliable.
Every evaluator is tested against a labeled dataset before it runs in production. You know its accuracy upfront, not just its opinion.
Raw LLM judges give different scores on the same input across runs. Scorable's calibration process minimizes scoring variance so you can trust the results.
Instead of crafting and maintaining evaluation prompts yourself, Scorable generates evaluators from your codebase and calibrates them automatically.
What you can build
Continuously measure and control AI quality from testing to production.
Stop your chatbot from answering outside its intended scope. Evaluate before delivery, block if the score falls below your threshold.
Evaluate every response in production. Get alerted when quality drops. Drill into individual traces to see exactly what went wrong.
Fail a deploy if hallucination scores spike after a prompt change. Treat AI quality like any other test you'd run in a pipeline.
Run evaluators over any corpus of AI-generated text. Understand how your model has been behaving before users ever told you.
Integration
Connect Scorable to your app so every AI response is automatically evaluated and scored in real-time.
# Paste into your coding agent (Claude, Cursor, etc.)
>Add Scorable evals by following https://scorable.ai/SKILL.md
