Product and technical proof

Structured learning first. Learner-controlled Muse context second.

Inspect the interactive coach–learner workflow prototype, adult phase-one scope, local data-flow plan, reviewer brief, simulated session fixture, draft event schema, and evidence status. Commercial SDK access and live-device support remain subject to Muse review.

Coach–learner prototype: AvailableAdult phase-one scope: DefinedFixture and schema: AvailableLive-device runtime: Not demonstrated

Reviewer one-page brief

Product, user scope, data boundary, SDK request, and status in one document.

This compact pre-application overview is intended for a Muse SDK reviewer. The PDF is suitable for internal forwarding and archiving; the SVG remains available as a responsive preview.

SlowSystems Muse SDK Integration Brief showing the structured learning product, adult phase-one scope, learner-controlled Muse role, product boundaries, workflow, SDK scope, and project status.
Pre-application brief. Commercial SDK access and live-device support remain subject to Muse review.

Product workflow

Plan → Learn → Check → Reflect → Adapt.

Educational progress comes from completed work and human-readable learning evidence—not from a sensor-derived mental-state score.

01

Plan

Learning goal, material, task, duration, and knowledge check.

02

Learn

Guided session with tasks, notes, pauses, and questions.

03

Check

Quiz, recall, applied task, or completed work.

04

Reflect

Self-assessment, confidence, difficulty, and session notes.

05

Adapt

Coach feedback, follow-up task, and repetition schedule.

Interactive product prototype

The non-device coach–learner workflow is clickable.

The prototype uses sample educational data and demonstrates a coach dashboard, a guided learner session, a knowledge check, reflection, and coach review. It contains no live Muse SDK integration, Bluetooth connection, simulated EEG stream, concentration score, or mental-state inference.

Interactive product prototypeSample educational data · No live Muse SDK integration · No EEG data

Current implementation status

Implemented prototype functions and pending Muse evidence are separated.

The following status is intentionally explicit so the prototype cannot be mistaken for an approved device integration.

AreaStatusEvidence or boundary
Coach–learner workflowInteractive prototypeClickable sample-data workflow at /demo.
Learning plansPrototypeGoal, material, task, duration, knowledge check, due date, and review date.
Guided sessionsPrototypeTasks, notes, pauses, completion, and learner reflection.
Coach feedbackPrototypeFeedback, next task, and repetition date.
Muse SDK accessPendingCommercial review requested.
Live Muse connectionNot implementedNo Bluetooth or live-device runtime is shown.
Muse S Athena compatibilityNot confirmedStandard Android capability confirmation requested.
EEG processingNot demonstratedNo simulated stream, chart, or mental-state score.
Athena optics / fNIRSOptional laterNot required for phase 1.

Why Muse is requested

Optional technical context for an already defined learning session.

Muse is requested for a narrow technical role. The device does not create the learning result and does not replace the educational workflow.

Session synchronization

Permitted timestamps can align optional device context with task changes, pauses, and manual markers.

Connection quality

Connection status and available signal-quality information can help the learner identify unusable periods.

Repeatable development

.muse recording, logging, and playback would support reproducible integration testing where permitted.

Local learner context

Approved data can be processed locally before a narrowly defined event shown only to the learner.

Phase-one use case

Adult learner, optional Muse device, learner-controlled technical context.

During a guided learning session, an adult learner may optionally connect a Muse device. The application would record approved connection status, signal quality, timestamps, recording continuity, and permitted signal features alongside task changes, pauses, and manual markers. The information would be shown only to the learner. It would not grade the learner, infer understanding, or determine coach feedback.

Adult users only

Minors, schools, and institutional student monitoring are outside the phase-one device scope.

Learner-only device view

Coaches receive educational records only, not raw EEG or EEG-derived performance scores.

No learning-state claim

The system does not claim to detect understanding, thoughts, intelligence, or objective concentration.

No clinical use

The system does not provide diagnosis, treatment, therapy, or clinical decision support.

Planned local data flow

Muse device → official Android SDK → learner-controlled session event.

Device access, local processing, educational records, and any future storage remain separate layers.

01

Muse device

Optional device connected by an adult learner.

02

Official Android SDK

Commercial SDK path and supported-device confirmation required.

03

Native Flutter bridge

Planned adapter between the official SDK and the learning application.

04

Local processing

Signal-quality checks and permitted feature extraction.

05

session_feature_update

Technical context shown in the learner-controlled session view.

Raw EEG upload

Disabled by default.

Coach access

Educational records only; no raw EEG or EEG-derived performance scores.

Third-party AI access

No raw EEG.

Persistent device storage

User-controlled and separately documented before any closed beta.

Technical fixture

session_feature_update — simulated data only.

The draft event records session phase, technical signal quality, and documented signal features. It contains no mental-state label and explicitly disables learning-outcome inference.

{
  "event_type": "session_feature_update",
  "session": {
    "phase": "guided_learning",
    "educational_use": "technical_context_only"
  },
  "signal_quality": {
    "status": "usable"
  },
  "learning_outcome_inference": false,
  "claim_boundary": "non_medical"
}

Related files: sample-run-001.json · session-feature-update.schema.json · review-manifest.json

Requested SDK scope

A small commercial phase-one request.

Phase 1 requires confirmation of standard Muse S Athena support for Android. Athena optics or fNIRS-related access is optional and not required.

PriorityCapabilityPurpose
RequiredPermitted EEG dataLocal technical feature extraction during an optional adult learning session.
RequiredTimestampsSynchronize data with tasks, pauses, and manual markers.
RequiredConnection statusReliable session setup and interruption handling.
Required if availableSignal qualityDevice-fit guidance and identification of unusable periods.
Development.muse recording, logging, and playbackRepeatable integration testing.
Optional laterAthena optics / fNIRSSeparate feasibility evaluation; not a phase-one dependency.

Reviewer confirmations

The first question is standard Muse S Athena Android support.

If Athena is not supported for the phase-one functions, SlowSystems asks Muse to identify the appropriate current model for initial commercial evaluation.

Standard Athena support

Does the commercial Android SDK support Muse S Athena for EEG data, timestamps, connection status, signal-quality information, .muse recording, playback, and logging?

Fallback device

If not, which current Muse model should be used for the initial commercial SDK evaluation?

Data and release rules

What restrictions apply to local processing, storage, adult closed beta, device naming, screenshots, demo material, and public compatibility statements?

Athena optics / fNIRS

Are optics or fNIRS-related data available and permitted? Phase 1 does not depend on this access.

Available now

Product and technical preparation.

  • Clickable coach–learner prototype
  • Three illustrative prototype views
  • Defined product model and learning workflow
  • Adult phase-one user scope
  • Planned local data flow
  • Simulated fixture and draft JSON Schema
  • Reviewer manifest and one-page brief

Requires approved access

Live device evidence.

  • Official commercial SDK implementation
  • Muse S Athena standard-function confirmation
  • Live-device runtime
  • Vendor-specific stream verification
  • Public compatibility wording

Contact path

Discuss a learning pilot or commercial Muse SDK integration.

Education collaboration and SDK/device-integration inquiries are separated in the contact form.