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Autori principali: Wang, Zhiyuan, Hu, Erzhen, Rucker, Mark, Barnes, Laura E.
Natura: Preprint
Pubblicazione: 2026
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Accesso online:https://arxiv.org/abs/2604.08529
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author Wang, Zhiyuan
Hu, Erzhen
Rucker, Mark
Barnes, Laura E.
author_facet Wang, Zhiyuan
Hu, Erzhen
Rucker, Mark
Barnes, Laura E.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2604_08529
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle PSI: Shared State as the Missing Layer for Coherent AI-Generated Instruments in Personal AI Agents
Wang, Zhiyuan
Hu, Erzhen
Rucker, Mark
Barnes, Laura E.
Human-Computer Interaction
Artificial Intelligence
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.
title PSI: Shared State as the Missing Layer for Coherent AI-Generated Instruments in Personal AI Agents
topic Human-Computer Interaction
Artificial Intelligence
url https://arxiv.org/abs/2604.08529