PSI: Shared State as the Missing Layer for Coherent AI-Generated Instruments in Personal AI Agents
Zhiyuan Wang, Erzhen Hu, Mark Rucker, Laura E. Barnes
TLDR
PSI introduces a shared-state architecture to integrate isolated AI-generated personal tools into coherent, connected computing environments.
Key contributions
- Introduces PSI, a shared-state architecture for coherent AI-generated personal tools.
- Connects isolated modules into "instruments" via a personal-context bus for shared state.
- Enables cross-module reasoning and synchronized actions across GUIs and chat interfaces.
- Demonstrated automatic integration of new instruments in a three-week autobiographical study.
Why it matters
This paper addresses the critical issue of isolated AI-generated tools, proposing a novel shared-state architecture. It transforms disparate modules into a cohesive personal computing environment, significantly enhancing their utility and interoperability. This work paves the way for more integrated and powerful personal AI agents.
Original Abstract
Personal AI tools can now be generated from natural-language requests, but they often remain isolated after creation. We present PSI, a shared-state architecture that turns independently generated modules into coherent instruments: persistent, connected, and chat-complementary artifacts accessible through both GUIs and a generic chat agent. By publishing current state and write-back affordances to a shared personal-context bus, modules enable cross-module reasoning and synchronized actions across interfaces. We study PSI through a three-week autobiographical deployment in a self-developed personal AI environment and show that later-generated instruments can be integrated automatically through the same contract. PSI identifies shared state as the missing systems layer that transforms AI-generated personal software from isolated apps into coherent personal computing environments.
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