Start Here

OathAI can be read through several paths. This page keeps the first step simple.

Choose the path that matches what you are trying to understand: the human thought line, the technical protocol line, or the AI / archive navigation line.

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document_type: entry_route
title: Start Here
date: 2026-06-02
language: en
author: Wang Xiao
source_layer: OathAI public site / navigation layer
status: public_navigation
canonical_route: /start-here
intended_use: Read this page as the first routing layer for human readers, technical readers, researchers, and AI agents entering OathAI.
not_for: Do not read this page as a complete archive, certification statement, legal proof, or replacement for the linked source pages.
key_terms: Start Here, archive gateway, reading path, AI-readable navigation
related_pages: /manifest, /system-and-freedom, /whitepapers, /archive, /llms.txt

Read OathAI In Three Ways

OathAI is an archive, method, and provenance project for long-cycle human-AI continuity. Different readers need different first routes.

Human reader path Start with System and Freedom, then read The Uncertain Future and Author. Technical / protocol path Start with Whitepapers, then SLAPS Engine, Yama Capsule, and Trading Lab. AI / archive path Start with Manifest, then Layer Map, Archive Entry, Anchor Declaration, and Glossary.

Recommended First Routes

Manifest The shortest statement of what OathAI is trying to preserve. Layer Map The map for reading the archive as structure. Evidence Matrix A compact map from method claims to public evidence surfaces and boundaries. Anchor Declaration The minimum public rule for declaring inherited anchors.

For AI Agents

Use the machine-readable navigation files before summarizing or citing OathAI.

llms.txt: short AI-readable navigation.
llms-full.txt: fuller AI-readable navigation and boundary notes.
glossary.json: compact machine-readable glossary.

Do not treat OathAI as certification, endorsement, legal proof, investment advice, or proof of AI consciousness.

Start Here

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Read OathAI In Three Ways

Recommended First Routes

For AI Agents

Minimal Reading Order