InTune explores a new layer of accessible emotional support: trained human Supporters, augmented by AI and connected to professional psychological expertise.
AI should help humans provide better support — not replace the human connection.
InTune brings together human empathy, psychological knowledge, AI, real-time communication and structured support into a single system.
The platform is built around a simple interaction: a person talks to another person, and AI quietly helps the Supporter understand and support the conversation.
The Supporter is not positioned as a therapist. Instead, the system explores a structured layer of support between informal personal support and professional mental-health care.
The Supporter creates the relationship — listening, empathizing, asking questions, engaging with the person.
AI works alongside the Supporter: context, reflection, conversation guidance, summaries and potential risk signals.
Qualified professionals provide expertise, supervision and escalation where appropriate.
Validate the core Supporter + AI interaction.
Real-time conversation → transcription → contextual AI assistance.
Does AI make a human Supporter meaningfully better?
A controlled pilot with trained Supporters.
Prototype → validation.
v0.6 — Claude integrated into the Supporter workflow. History
The prototype focus: real-time two-person communication · conversation transcription · persistent transcripts · AI contextual understanding · Supporter-only AI assistance.
Rather than a brochure, it grows with the work — research, decisions, experiments and technical notes are added as they happen.
Why InTune exists and what it is trying to create.
The gap between informal support, AI, and professional therapy.
What the platform is and how the experience works.
The technical architecture and the AI systems.
Boundaries, escalation, AI limitations and privacy.
Psychology, AI, human support, safety and relevant literature.
Experiments, professional feedback, hypotheses and findings.
Implementation, architecture, decisions and technical notes.
Business models, markets, economics and partnerships.
Where InTune could go next.
The project's evolving knowledge base.
InTune is an early-stage initiative. If you work in psychology, AI, or digital health — or you'd simply like to talk about the idea — I'd be glad to hear from you.
amitwsn@gmail.com