Selfsway
CA

CA not published yet

Project brief

One life model Many ways forward

A personal life model network that turns your records into continuing context for the AI you choose

Explore a model in motion

Your life model

Controlled by you
Choose an AI view
A translucent human concept figure used to explore records within one personal life model

Sleep log and personal note

Example record

A routine, with its history

Sleep records can be understood alongside your working hours, habits and observations

Inside this model

Original records keep their source and collection context

SleepActivityReportsPrivate notes

Your notes and correction history stay in your model

AI you choose

Preview before permission

  • Sleep records
  • Activity records

Nothing is shared by this preview

Interactive concept — no health data collected

Review AI access

A draft scope for the selected AI

Separate records
A continuous understanding

Selfsway proposes a life model that brings your history and changing context together, with a source behind each record and room to correct what it gets wrong

Original Selfsway brand sculpture in graphite with an open S-shaped cut and a terracotta inner edge
Your context, carried forward

Original records, interpretations and corrections remain distinct

Concept artwork for a continuing personal model

A source behind every record

Reports you provide, device readings and everyday observations retain their origin, time and original content

Confirmed, with room to correct

Information you confirm becomes part of your longer history, with a record of how it was verified and when it was revised

Every inference has an evidence trail

Calculated patterns and AI hypotheses are labelled as interpretations, with supporting records and uncertainty kept visible

New evidence can revise the picture

Your corrections, later reports and new observations help update the model while preserving previous versions

Follow the evidence
Wearable observationIllustrative source record
Origin
A source chosen by you
Time
Kept with the original record
Evidence
Original information preserved
Example
A sleep record from a connected device
Model treatment
Preserve the source and flag gaps or conflicts

Available to authorised services within the scope you choose

Reviewed by the individualIllustrative confirmed context
Origin
Your review and supporting records
History
Confirmation and revision retained
Correction
Open to later updates
Example
A previous examination confirmed by you
Model treatment
Keep confirmation history and allow corrections

Confirmed context remains linked to its supporting evidence

A provisional explanationIllustrative AI interpretation
Based on
Records within the authorised scope
Confidence
Limited by evidence quality
Identity
An inference, not a diagnosis
Example
A possible relationship between activity and sleep
Model treatment
Keep it provisional until further evidence supports it

Later evidence can challenge or revise an interpretation

A correction from youIllustrative new evidence
Origin
Personal feedback or a later record
Action
Review affected interpretations
History
Previous versions remain traceable
Example
You correct when a device was actually worn
Model treatment
Revise the record and review affected inferences

Your model can change as better evidence becomes available

A record captures a moment
Your model carries the context

Original evidence keeps its source, while your history, observations and corrections add context over time

A Wellcome Collection brain MRI illustrating one source record, rather than a personal life model
An example of original evidenceReference MRI from Wellcome Collection · CC BY 4

Keep the evidence intact

A report or scan is one record, with an origin and a point in time

Let understanding change

Your notes, later records and corrections could revise the model while preserving the evidence behind each interpretation

Reference imagery, not a Selfsway scan or diagnostic result

General AI provides reasoning — your life model provides the personal context

A model that keeps
learning your context

New records can deepen the picture
Every update needs a clear origin and scope

  1. Connect records

  2. Keep their sources

  3. Build context

  4. Define access

  5. Revise with evidence

Follow the model lifecycle

  1. Choose what to connect

    Select the records and supported sources you want to include

  2. Organise the evidence

    Align time, units and formats while keeping sources, gaps and conflicts visible

  3. Build lasting context

    Develop a personal baseline where evidence allows, with a history of revisions

  4. Authorise a specific use

    Choose the service, purpose, information range and duration

  5. Revise with new evidence

    Bring feedback and later results into the model, keeping inferences labelled

The model stays yours
The scope is your choice

One continuing model, separately permitted uses
Choose which records a service may see — the rest stay within your personal context

Records in this scope

Private notes stay with you

AI you choose

Only confirmation grants session access

Your permission

Preview only

Sleep AI — Sleep records, Activity records

Illustrative access concept — no health data collected
Explore a permission

A local concept demo, no health records needed

Information this service may use
Permission durationThis demo session
Context available to this AI

Waiting for your permission

Choose a scope and confirm to see the context this service would be allowed to use

One permission, one service, one defined purpose

Revoking permission stops future controlled access, while information already obtained by a third party remains subject to the relevant handling agreement

Where records are kept

Raw health information and personal models are planned to remain encrypted off-chain, with necessary service settlement and fulfilment records on-chain

Your context stays with you
The work moves around it

A sleep AI, a movement AI and a visit preparation AI could use different parts of the same model under separate permissions

Selfsway aims to connect individuals, data connectors, model maintainers and AI applications around context that each person chooses to make available

That work needs a way to be delivered, checked and paid for

SELFSWAY

Settlement for the workPermission stays with you

Contract address

Robinhood Chain

CA not published yet

One service, with defined work

The outer weave brings record processing, model maintenance and authorised computation into one proposed SELFSWAY settlement

Different work, distinct providers

Three separate ends represent the connector, model maintainer and AI provider — compensation follows checked work

A commitment held to its terms

The outer fold represents a conditional provider bond, dependent on agreed delivery, evidence and enforceable dispute rules

Shared rules, personal control

The common rails represent network fees, connection standards and shared resources — personal access stays with you

Your life model Private notes stay insideSleep AIPermission set by youSELFSWAY For the service work
Your scope
For

A sleep context review

Sleep records, Activity records

Draft scope — no service is running

A visual study of the proposed network — the model stays intact while permission and service work remain separate No AI request, token transfer or provider payment is executed here

Maintaining models, connecting records and running AI tasks require ongoing work — SELFSWAY is proposed as a service settlement and coordination token, with utility introduced alongside working products and published rules

Read the token utility proposal

Service settlement

Proposed payments for model maintenance, record processing, computation and authorised AI calls

Provider payments

Compensation for verified work, funded by service fees or a clearly defined ecosystem budget

Provider bonds

Subject to enforceable fulfilment and dispute rules, bonds may support measurable service commitments

Network governance

Once implemented, participation in network fees, connection standards and shared resource decisions

Read the work behind this request

Connect the records

Sleep + Activity

Record connector

Maintain the model

Sources + context + revision history

Model maintainer

Sleep AI task

Questions about sleep and routine

AI service provider

Permission stays personal

Access to health information comes from the individual — holding tokens grants no data access
Basic information management is planned independently of token ownership, with options such as app-sponsored settlement

How service work is settled

  1. Service request

    A person chooses a task and grants its scope

  2. Record and model work

    Connectors, maintainers and AI providers

  3. Delivered service

    Fulfilment is checked against agreed rules

  4. Provider settlement

    Fees or a defined budget compensate the work

Clear boundaries

What is a life model intended to do?

The initial focus is record organisation, explaining changes and preparing questions for a medical visit, with confidence limited by evidence quality and correction processes — diagnosis and treatment decisions remain with qualified professionals

Will health records be public on-chain?

The design keeps raw health records, identifying information and personal model details off-chain, using the chain only for appropriate settlement and fulfilment records that should avoid revealing an individual’s health identity

What stage is Selfsway at?

Selfsway is in the concept and product planning stage — the network and token uses described here are proposed designs, and the permission interaction is a local demonstration of the idea

Actual features, supported connections, token supply, allocation and release arrangements require separate formal disclosure

The context of your life
in your hands

Read the project brief

A personal life model network, built around individual permission

Selfsway