I m building BlackChat around a narrower safety boundary. Difficult research questions stay answerable, while requests intended to enable real-world crime stop there.
For people who use AI for security research, crime analysis, politics, or mature subjects: which approach feels more useful and trustworthy broad topic blocks or intent-based intervention?
I d especially value examples of false positives or edge cases you have run into. BlackChat launches later today.
BlackChat is an AI chat service for people who want clear, practical answers. Keep conversations in a private workspace, organize chat history, and use prepaid tokens when you need them. It is built for research, writing, and technical questions, with safeguards against harmful real-world actions.
BlackChat is a private AI workspace for direct answers about cybersecurity, AI behavior, crime analysis, politics, mature subjects, and other difficult topics. Instead of blocking entire categories, it evaluates intent and intervenes when a request is meant to enable real-world crime. This launch adds Google and email login, saved chat history, projects, usage tracking, 400 starter tokens, and prepaid access without a subscription.
