People move between systems
Applications, accounts, clouds and AI services hold separate parts of data and context. People must repeatedly adjust to the interface, rules and limitations of each provider.
Digital life is scattered across applications, accounts, clouds and AI services. IWXA examines an approach in which data, programs and AI can gradually operate around the person, with accumulated context retained and portable.
Applications, accounts, clouds and AI services hold separate parts of data and context. People must repeatedly adjust to the interface, rules and limitations of each provider.
IWXA aims to link programs, data and AI so that tools can be replaced without surrendering accumulated context or the ability to control it.
IWXA Standard describes shared rules for data, context, AI, actions and interactions between independent participants. Such rules make it possible to change parts of the system without losing work or rights.
Models, devices and cloud services may change. Core questions remain: who controls the context, who is authorised to act and where did the result come from?
Each subsequent T-level describes additional ways to work with data, AI and external systems. An increase in capability must not grant an operator control of the entire personal context.
People retain control of their own context even when software, devices and AI providers change.
Where required, a digital environment can work without mandatory continuous connectivity or dependence on one cloud, device or provider.
Personal context does not automatically become the property of an external platform, operator or model.
Being technically able to act is different from being authorised to act. Authority must remain explicit.
Results matter together with their origins, conditions of applicability and degree of verification.
Models, programs, devices and infrastructure can change without destroying a person's accumulated digital context.
The T-scale describes a direction from autonomous environments controlled by people towards deeper integration with data, services and AI.
Personal data and tools need not depend on a mandatory outside provider, and cooperation can remain controlled.
Further data, permitted actions, people and organisations may join independent environments with explicit access boundaries.
Personal context, a digital trace and AI provide continuity across a more connected infrastructure without constant manual coordination.
This public model explains direction and intended human benefit. Upper-level research mechanisms are still being developed; they are not presented as completed production implementations.
Core tools and data can remain with the person. Where necessary, the environment can work locally without permanent dependence on one cloud or AI provider.
Independent environments can exchange results and a bounded part of context, without providing the other party access to the complete workspace.
Once independence is established, external data, services, AI, organisations and devices can be connected gradually. Additional reach does not override authority and access limits.
Events, decisions and results can be linked so that work may resume later with its context preserved.
AI operates inside permitted context and assists with practical tasks and processes rather than only providing a separate chat window.
With explicit permission, AI may perform an action through an appropriate program or service instead of merely suggesting it.
People, organisations and external systems can participate. Each party receives only the data and authority needed for the task.
Instead of managing complexity through dozens of independent apps, the person could work through retained context and AI, while routine coordination between permitted systems becomes less visible.
Digital Human describes permitted personal data, activity history, knowledge, decisions, roles and verified results that can be used while working with surrounding infrastructure.
AI receives only the context it is authorised to use for a task. No one application or platform thereby becomes the owner of the person's accumulated information.
A person can maintain a digital environment without depending on a permanent internet connection, one device, one cloud or one supplier.
Servers and external services become part of the environment. A person can work through retained context and AI instead of constantly switching between dozens of separate systems.
An architectural proposal proves little by itself. IWXA examines these principles in education, manufacturing, business, logistics, services, culture and other practical domains.
Different fields provide independent settings for applying and examining the overall architecture.
Explore →ProjectsProjects demonstrate how IWXA ideas are used in different industries and practical situations.
Explore →SystemsServices and digital systems illustrate the applied side of the ecosystem.
Explore →ScienceDoctoral research and the monograph form the theoretical basis for subject-context cooperation.
Explore →The doctoral research line examines delegated actions in organisations: who is authorised to act, within what limits, who is accountable and which context is required.
The monograph extends this approach beyond a single organisation, addressing different types of participants, portable context and protection from dependence on one operator.
Each process initially solves one task. IWXA explores how results can become part of retained context so that later tasks can build on previous work.
The purpose is to reduce unnecessary digital coordination while retaining human control of decisions, context and authorised actions.
T2-T3 establish the possibility of an independent personal digital environment. T8 describes a proposed connected environment operating around the person.