You're shipping an AI product.
Do you know if it works?
Candor puts real people in front of what your AI produces — and tells you what's working, what's broken, and what to fix next. No eval infrastructure to build. One command from your terminal.
Every evaluation on Candor is completed by a real person. Not an LLM. Not a synthetic label. Human judgment.
You're guessing whether your product works
You're evaluating your own work
You and your cofounder test your AI by using it yourselves. But you built it — you know the right answers, you interpret ambiguous outputs charitably, you unconsciously avoid the edge cases. You need strangers.
You don't know what “good” means yet
Is your output accurate? Trustworthy? Clear? Useful? You have a gut sense but no data. Ten real people rating your outputs on a 1-5 scale will tell you more in an afternoon than a month of internal debate.
You're guessing what to improve
Is the problem your AI's accuracy, your UX, your copy, your onboarding? Without structured feedback from real users, every sprint is a coin flip on what to work on next.
Four questions, one command each
Is your AI's output correct?
Have real people — or domain experts like lawyers, clinicians, or analysts — judge whether what your AI produces is accurate. Works for any output type: text, images, audio, decisions, recommendations. Get per-item accuracy scores so you know exactly which outputs are strong and which are failing.
“How accurate is this AI-generated output?”
Which version is better?
You have two approaches, two prompts, two models, two designs. Stop debating internally. Put both in front of real people and get a ranked winner with agreement metrics. Pairwise comparison — the simplest, most decisive eval you can run.
“Which output is better? Consider accuracy, clarity, and usefulness.”
Do users trust it?
Your AI might be technically correct but feel wrong to users. Have real people interact with your product while an AI voice moderator asks questions about trust, clarity, and confidence. Voice interview sessions that surface the “I don't believe this” moments you can't find in analytics.
Learn more about Voice Interviews →What's confusing?
Show your product to 15 people and collect open-ended reactions. What do they think it does? Where do they get stuck? What surprises them? Free text feedback that tells you what your landing page, onboarding, or core experience actually communicates vs. what you intended.
“After looking at this, what do you think this product does? What's clear and what's confusing?”
Under the hood, every Candor study uses randomized ordering to prevent bias, attention checks to filter disengaged participants, and inter-rater agreement metrics so you know whether your evaluators agree. You don't need to configure any of this — it's built into every study automatically.
Find out if your AI product works
Real people. Real feedback. Results in hours.