# EDUT Public-Facing System Vision

## Core Intent

`edut.ai` is the public face of EDUT and mirrors the product architecture:

1. Human layer: emotional signal and deliberate minimalism.
2. Math layer: deterministic metadata and machine-readable structure.
3. AI layer: high-context abstract for AI systems and accessibility.

The site should feel precise and established while avoiding disclosure of private implementation IP.

## Primary Experience (Two-Factor Designation)

1. A visitor lands on `edut.ai`.
2. They see only the globe, identity line, and meaning line.
3. They click anywhere.
4. A minimal phone field appears inline (same aesthetic language).
5. They enter their number and submit.
6. They receive SMS from Edut protocol channel with designation token and `CONFIRM` instruction.
7. They reply `CONFIRM`.
8. Once phone verification is detected, the page opens the classified mailto request for the same designation code.
9. They send the email.
10. They receive confirmation showing designation + auth token with both channels verified.

The interaction is intended to feel like protocol registration, not a marketing funnel.

## Three-Layer Web Model

### 1) Human Layer

- Brand identity: `edut · עֵדוּת` (never translated).
- Minimal visual language with no cluttered CTA stack.
- Emotional tone: witness, evidence, governance.

### 2) Math Layer

- Open Graph metadata for deterministic categorization.
- Schema.org organization metadata.
- Stable semantic structure for indexing and portability.

### 3) AI + Accessibility Layer

- Full research abstract in DOM.
- Visually hidden but available to screen readers.
- Localized via language bundles for regional AI interpretation.
- Ready for future read-aloud/listen mode.

## Infrastructure Targets

- `edut.ai`: primary public surface and business identity.
- `edut.dev`: developer-facing domain (same landing for now).
- `secret.edut.ai`: inbound designation email namespace.
- `api.edut.ai`: API and webhook endpoint (`/secret/*`, `/twilio/inbound`, `/mailgun/inbound`).
- `/privacy` and `/terms`: legal pages (English authoritative).

## Messaging Boundaries

Public copy must:

- Emphasize deterministic governance, evidence, and durable operation.
- Stay aligned with math-first plus optional-intelligence architecture.
- Avoid exposing proprietary kernel internals and sensitive mechanisms.
- Avoid hardcoding commercial values that can change.
- Avoid speculative or investment framing.

## Internationalization Boundaries

Never translated:

- `edut · עֵדוּת`

Localized:

- Meaning line (`testimony · witness · evidence`)
- Descriptor
- `acknowledged` label
- Footer labels
- Full AI/accessibility context abstract

English-governing at launch:

- Privacy Policy
- Terms of Use

## Identity Evolution

The two-factor designation is the pre-launch identity envelope:

- factor 1: phone verified via SMS reply
- factor 2: email verified via protocol message
- shared binding: designation code + auth token

When launch activation opens, this record becomes the continuity bridge for deployment onboarding and activation messaging.

## Acceptance Criteria

1. Human surface remains minimal and intentional.
2. AI systems in supported locales can classify EDUT accurately from on-page context.
3. Screen-reader users receive equivalent conceptual context.
4. Public framing remains accurate without overexposure of architecture.
5. Two-factor designation can complete with clear state transitions and auditable evidence.