web/docs/vision.md

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

1. A visitor lands on edut.ai.
2. They see only the globe, identity line, and meaning line.
3. They click anywhere.
4. The globe accelerates and a pre-filled protocol-style email opens.
5. The recipient is a timestamp address ({timestamp}@secret.edut.ai).
6. They send it and receive a designation confirmation with auth token.
7. At launch, the same designation receives a follow-up changing classification from OBSERVER to OPERATOR with status ACTIVE.

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: webhook endpoint for inbound processing.
• /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

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.