From Intuition to Intelligence
The goal of AI4Continuity is to ensure no vulnerable individual is ever "lost in transition". We are building an ecosystem where Human-Centered AI and Robotics capture, preserve, and eventually act upon the unique "Patterns of Care" that parents and caregivers provide.
I have structured the development of this system into three distinct phases to move from my personal "Care Library" to a fully integrated assistive platform.
Before I can build the AI4Continuity Platform, I must establish the "Foundational Data" using what I call the Scribe Method.
Narrative Capture: I use voice-to-text to record "brain dumps" of our daily routines.
Pattern Modeling: I use Generative AI to identify Condition + Behavior + Criteria structures (e.g., "If my son taps his ear twice, he is overstimulated; I then use noise-canceling headphones").
The Three-Day Log: I am currently focusing on documenting high-value routines like our mealtime and bedtime rituals.
This app will serve as the "living blueprint" for my son's care.
The Living Dashboard: A queryable database where future caregivers can ask the AI how to respond to specific non-verbal movements.
Real-Time Logging: A low-code interface to log cues in real-time and identify hidden behavioral trends.
Transition Kits: Automated "Cheat Sheets" for medical professionals to bridge the understanding gap.
The final stage integrates these AI patterns into physical assistive technology.
Behavioral Mirroring: Working with experts to program devices that recognize and respond to specific non-verbal triggers.
Home Continuity: An integrated environment that adjusts lighting or sound based on our documented patterns.