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 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.
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.
