Support systems call judged.systems when a ticket needs a judgment. The helpdesk stays the system of record. You send the ticket. A pack defines the questions: queue, urgency, refund request, policy risk. Back comes a choice and its probabilities, a score on a rubric, or the probability a statement is true. Your thresholds return accept or review. A failed call stays in review. The ticket is redacted first. The evaluation is stored as it happened. A label on a miss leaves it untouched.
A ticket comes back as a choice and its probabilities, a score on a rubric, or the probability a statement is true. Your thresholds turn that into accept or review. A failed call stays in review.
A published pack is frozen. A label on a miss does not rewrite the evaluation.
answering your own question: anywhere the ticket author has an incentive to word things so the classifier lets them through. refund requests and policy risk are exactly that, the person writing the ticket is sometimes trying to get classified as low-risk on purpose, so the probability score you'd threshold on is also the thing being gamed. queue routing or urgency, nobody's lying to you about that, it's a fine place to auto-accept. the moment the input is adversarial rather than just noisy, a high-confidence score stops being reassuring
About judged.systems on Product Hunt
“The judgment API platform for support systems.”
judged.systems launched on Product Hunt on October 8th, 2026 and earned 73 upvotes and 2 comments, placing #25 on the daily leaderboard. Support systems call judged.systems when a ticket needs a judgment. The helpdesk stays the system of record. You send the ticket. A pack defines the questions: queue, urgency, refund request, policy risk. Back comes a choice and its probabilities, a score on a rubric, or the probability a statement is true. Your thresholds return accept or review. A failed call stays in review. The ticket is redacted first. The evaluation is stored as it happened. A label on a miss leaves it untouched.
judged.systems was featured in Developer Tools (521.5k followers) and Artificial Intelligence (481.6k followers) on Product Hunt. Together, these topics include over 219.9k products, making this a competitive space to launch in.
Who hunted judged.systems?
judged.systems was hunted by Oleksandr Halashevskyi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Oleksandr Halashevskyi
Hey, I’m Oleksandr 👋 . I built judged.systems.
A ticket comes back as a choice and its probabilities, a score on a rubric, or the probability a statement is true. Your thresholds turn that into accept or review. A failed call stays in review.
A published pack is frozen. A label on a miss does not rewrite the evaluation.
Where would you refuse to let a rule auto-accept?