PsychosisGuard – Safety net for long LLM conversations
Monitor and de-escalate potentially harmful long AI chats to protect vulnerable users
- Problem
- Long conversations with LLMs can reinforce delusions or paranoia, especially when the model validates harmful ideas. There is a lack of real-time user-facing safety guardrails.
- Solution
- A local plugin that analyzes user-LLM interactions and gently alerts or suggests a break when signs of delusion, paranoia, or dangerous fixation appear, with mental health resources.
- Users
- Heavy AI chat users, caregivers of psychologically vulnerable individuals, and AI ethics-aware developers.
- MVP
- Parse conversation text; detect risk signals via keywords and sentiment analysis; show non-intrusive alerts when thresholds are hit; one-click pause and resource links; adjustable sensitivity.
- Revenue
- Freemium: basic alerts free, advanced weekly reports and custom rules for $5/month.
- Why now
- AI companionship and role-play chats are surging, mental health incidents are being reported, and regulatory pressure is rising, creating demand for self-protection tools.
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