Tutorials, research and playbooks on AI content moderation. Built by the team behind ToxicFilter, written for developers and trust & safety teams.
You do not need a statistics degree to have an opinion on model quality. A plain-English guide to the metrics that decide whether your moderator is good.
A flagged message from a loyal user is worse than a missed spam. Here is a practical playbook to measure, triage, and reduce false positives.
Literal translation strips out exactly the signals you need. Here is why native-language models win, and what breaks when you take shortcuts.
These three problems look similar but require different detection strategies and different response actions. Here is how to think about them clearly.
A practical introduction to AI content moderation: what it solves, what it costs you to ignore it, and how modern models handle spam, toxicity, and unsafe media.
Allow, review or block, and the reason in words. On the free plan: 2,000 credits a month, no card. A check costs 1 credit, about 8 if the model reads it, about 10 for an image.
