# AI First Mental Health > Private AI support with clear limits and human escalation paths. AI First Mental Health helps individuals, schools, employers, and care teams provide structured check-ins, journaling support, resource navigation, and therapy-prep summaries between moments of care. It matters because people often need support before or between appointments, and the AI-native system can offer safe structure, track patterns, and escalate risk without claiming to be a therapist. An AI-first, AI-native business built for the agentic economy — for humans and for agents. Built on NetShow.AI. ## Key facts - Category: Health & Wellness / AI mental health navigation and coaching - Who it's for: A person, employer, school, or provider group that needs always-available support, structured check-ins, and escalation to licensed help when risk appears. - Outcome: Provide structured emotional support, resource navigation, and safety-aware escalation without pretending to replace licensed care. - Contact: info@aifirstmentalhealth.com · https://aifirstmentalhealth.com/contact ## What we do - Mood check-ins - Journaling - CBT-style exercises - Goal tracking - Resource matching - Therapist-prep summaries - Crisis escalation - Clinician dashboard ## Pages - [Home](https://aifirstmentalhealth.com/) - [private check in](https://aifirstmentalhealth.com/private-check-in) - [how it works](https://aifirstmentalhealth.com/how-it-works) - [for individuals](https://aifirstmentalhealth.com/for-individuals) - [for clinics](https://aifirstmentalhealth.com/for-clinics) - [for schools employers](https://aifirstmentalhealth.com/for-schools-employers) - [safety privacy](https://aifirstmentalhealth.com/safety-privacy) - [resources](https://aifirstmentalhealth.com/resources) - [pricing](https://aifirstmentalhealth.com/pricing) - [waitlist](https://aifirstmentalhealth.com/waitlist) - [contact](https://aifirstmentalhealth.com/contact) ## For agents (A2A) - Agent Card: https://aifirstmentalhealth.com/.well-known/agent.json - MCP endpoint: https://aifirstmentalhealth.com/mcp · API: https://aifirstmentalhealth.com/api/v1 · OpenAPI: https://aifirstmentalhealth.com/openapi.json - Full content dump: https://aifirstmentalhealth.com/llms-full.txt - Tools: Run guided check-in, generate grounding exercise, summarize journal, track mood, match resources, create therapy-prep summary, detect crisis language, show emergency resources, route to human support, create follow-up reminder ## Answers (FAQ) ### What problem does AI First Mental Health solve? It helps individuals, schools, employers, and care teams needing structured support between moments of care move beyond journals, generic wellness apps, crisis searches, waiting lists, resource PDFs, text threads, sporadic therapy notes, and unstructured check-ins toward provide structured check-ins, journaling support, resource navigation, and therapy-prep summaries between moments of care with escalation to licensed or crisis help when risk appears. ### Who is it for? It is primarily for A person, employer, school, or provider group that needs always-available support, structured check-ins, and escalation to licensed help when risk appears.. ### How does it work at a high level? It guiding safe check-ins, organizing user-reported context, suggesting non-clinical coping structure, flagging risk language, and routing to appropriate human or crisis resources and presents a clearer next step. ### What should users not assume yet? They should not assume therapy replacement, diagnosis, crisis intervention, guaranteed mental health outcomes, employment decisions, fake clinician endorsement, or unsupported safety claims or any unverified customer, revenue, benchmark, or compliance claim. ### What is the next step? Try the demo, review the proof boundaries, and use the CTA: Start a Private Check-In. ## Contact - info@aifirstmentalhealth.com · https://aifirstmentalhealth.com/contact · Made in America · Powered by NetShow.AI ## Guides, questions and services - https://aifirstmentalhealth.com/articles/ - https://aifirstmentalhealth.com/faq.html - https://aifirstmentalhealth.com/services/ - https://aifirstmentalhealth.com/articles/structured-check-in-guide.html - https://aifirstmentalhealth.com/articles/prepare-for-therapy-session.html - https://aifirstmentalhealth.com/articles/evaluate-mental-health-ai-safety.html - https://aifirstmentalhealth.com/articles/choose-support-resource-path.html - https://aifirstmentalhealth.com/articles/organization-check-in-governance.html - https://aifirstmentalhealth.com/services/private-structured-check-ins.html - https://aifirstmentalhealth.com/services/therapy-preparation-support.html - https://aifirstmentalhealth.com/services/organization-safety-governance.html ## Answers, glossary and facts - https://aifirstmentalhealth.com/answers/ - https://aifirstmentalhealth.com/glossary/ - https://aifirstmentalhealth.com/facts/ ## Blog - [Planning Check-Ins for the Shorter Days of Autumn](https://aifirstmentalhealth.com/blog/autumn-check-in-planning/): How individuals and support teams can set up a steady, private check-in routine as the season changes, with clear limits on what an AI can do. - [Bringing Check-In Notes to a First Therapy Appointment](https://aifirstmentalhealth.com/blog/bringing-check-in-notes-to-therapy/): How a user-controlled summary can help someone feel prepared for a first appointment, and why the person decides what goes into it. - [Privacy Questions to Ask Before Offering Sponsored Check-Ins](https://aifirstmentalhealth.com/blog/sponsored-check-in-privacy-questions/): A short list of questions for employers, schools and care teams to answer before offering check-ins, so participants can trust what happens to their words. - [What Happens When a Check-In Hears Risk Language](https://aifirstmentalhealth.com/blog/what-happens-when-risk-language-appears/): A plain explanation of how an AI check-in should respond to signs of danger, and why that moment belongs to people rather than software. - Blog index: https://aifirstmentalhealth.com/blog/ - RSS feed: https://aifirstmentalhealth.com/blog/rss.xml