healthCues - a gaia intelligence network for personalized health optimization
The foundation of CoherenceStream is the open source project HOP, Health Oracle Protocol https://healthscience.network/
The protocol is a novel combination of technologies, peer to peer messaging, data storage / replication, SafeFlow (Entity Component System), Library (reference and module contracts) and nocode toolkit BentoBoxDS https://bentoboxds.org/
healthCues is branded implementation of these open source technologies.
Besearch - a new science of mixing n=1 with decentralized machine learning
Product vision
All peers have sovereign Gaia intelligence agent (beebee) to keep peers, environments and nature healthy. Personalize peer experiences on the fly, act on peers goals and continuously seek besearch cycles at all scales to optimize health.
Besearch goals:
1 Establish confidence in data from tiny devices
2 Discover besearch cycles patterns of machine learning that establish a science of personalized health optimization.
Key features
Nocode accessiblity
Sovereign data and privacy
Local Agents network of agents
Network experiments besearch cycles that seek to optimize health all the time
Mix data from different sources, Mix computations into Besearch flows
Always learning, sovereign, privacy first
Coherence Ledger to establish trust in machine learning
Learn alone or with peers
Tiny devices - sovereign data
Three category of devices initially: Smart scale, Wearable fitness tracker, Blood biomarkers. For each device we will need to build a dedicated mobile application (or in the short run use their app and then a data API to get the data to a peer's datastore). This will require a formal partnership with a device or many device manufacturers. These will provide SDK developer kits. Question is can we get our AI coding agents to build a quality app in time or will this be post investment in CoherenceStream? Or, has the era of the device 'super' app arrived. An AI agent driven app that talks to multiple devices? Next bring in environmental sensor from home, buildings, cars and nature.
Building the application(s) for HOP
Last year, the possibility of a single developer taking on building multiple mobile apps would seem farcical. Today, this is a real opportunity. Each device partner, Smart scale and wearable have SDK's that aid building new mobile apps for their devices. They also provide API documentation to use their app and then retrieve data from their cloud datastore.
Q Build agent super tiny device app or many specialized app.
Once we have the CoherenceStream coding agents fully operational and tested, both are a valid way to progress but we are not there yet with the AI coding agents. The first task is upgrade BentoBoxDS to use bareJS that provides the code base to build a web app and mobile apps. A decision can be made to use those as the foundation for Smart scale and wearable mobile app. or we decide to keep BentoBoxDS separate and then upgrade healthCues for the device integration?
Time line for apps
Date
code
Ready to use
Sept
BentoBoxDS and HOP upgrade for Bare.js using All-Hands coding agents
November
October
Smart scale mobile app
October
Wearable mobile app
November
API blood biomarkers
Besearch cycles
Scales
Relationship between weight and body composition
Relationship between weight and taking creatine supplement
Wearable fitness tracker
Relationship between activity and sleep
Blood biomarkers
Scales and Wearable
Relationship between types of activity and body composition
Blood biomarkers, Scales and Wearable