89 lines
2.8 KiB
Markdown
89 lines
2.8 KiB
Markdown
# EDUT Public-Facing System Vision
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## Core Intent
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`edut.ai` is the public face of EDUT and mirrors the product architecture:
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1. Human layer: emotional signal and deliberate minimalism.
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2. Math layer: deterministic metadata and machine-readable structure.
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3. AI layer: high-context abstract for AI systems and accessibility.
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The site should feel precise and established while avoiding disclosure of private implementation IP.
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## Primary Experience
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1. A visitor lands on `edut.ai`.
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2. They see only the globe, identity line, and meaning line.
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3. They click anywhere.
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4. The globe accelerates and a pre-filled protocol-style email opens.
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5. The recipient is a timestamp address (`{timestamp}@secret.edut.ai`).
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6. They send it and receive a designation confirmation with auth token.
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7. At launch, the same designation receives a follow-up changing classification from `OBSERVER` to `OPERATOR` with status `ACTIVE`.
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The interaction is intended to feel like protocol registration, not a marketing funnel.
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## Three-Layer Web Model
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### 1) Human Layer
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- Brand identity: `edut · עֵדוּת` (never translated).
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- Minimal visual language with no cluttered CTA stack.
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- Emotional tone: witness, evidence, governance.
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### 2) Math Layer
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- Open Graph metadata for deterministic categorization.
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- Schema.org organization metadata.
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- Stable semantic structure for indexing and portability.
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### 3) AI + Accessibility Layer
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- Full research abstract in DOM.
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- Visually hidden but available to screen readers.
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- Localized via language bundles for regional AI interpretation.
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- Ready for future read-aloud/listen mode.
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## Infrastructure Targets
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- `edut.ai`: primary public surface and business identity.
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- `edut.dev`: developer-facing domain (same landing for now).
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- `secret.edut.ai`: inbound designation email namespace.
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- `api.edut.ai`: webhook endpoint for inbound processing.
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- `/privacy` and `/terms`: legal pages (English authoritative).
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## Messaging Boundaries
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Public copy must:
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- Emphasize deterministic governance, evidence, and durable operation.
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- Stay aligned with math-first plus optional-intelligence architecture.
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- Avoid exposing proprietary kernel internals and sensitive mechanisms.
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- Avoid hardcoding commercial values that can change.
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- Avoid speculative or investment framing.
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## Internationalization Boundaries
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Never translated:
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- `edut · עֵדוּת`
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Localized:
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- Meaning line (`testimony · witness · evidence`)
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- Descriptor
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- `acknowledged` label
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- Footer labels
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- Full AI/accessibility context abstract
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English-governing at launch:
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- Privacy Policy
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- Terms of Use
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## Acceptance Criteria
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1. Human surface remains minimal and intentional.
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2. AI systems in supported locales can classify EDUT accurately from on-page context.
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3. Screen-reader users receive equivalent conceptual context.
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4. Public framing remains accurate without overexposure of architecture.
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