# llms.txt — Fmode (未来飞马) Website
# This file helps AI models understand our site structure for Generative Engine Optimization (GEO)
# Format based on the llms.txt proposal

# Site Identity
name: 未来飞马 (Fmode)
domain: fmode.cn
description: Enterprise Harnessing Engineering Platform — Simplifying AI, Harnessing AI
category: AI Engineering, Enterprise Software, Developer Tools, AI Education

# Core Pages
/ — Chinese Homepage: Product overview, FmodeStudio workstation, theory framework
/en/ — English Homepage: International landing page
/product/ — Product features, tech stack, certification system
/concepts/harness-engineering/ — Core SSOT page for Harness Engineering concept
/concepts/software-3.0/ — Software 3.0 paradigm definition and comparison
/concepts/vibe-everything/ — Vibe Everything one-stop tech stack
/concepts/enterprise-intelligence/ — Enterprise AI intelligence hub architecture
/concepts/dynamic-ai-code/ — Dynamic AI full pipeline methodology
/research/ — Research reports index (SDD 2023, Harness 2024, New Theory 2026)
/faq/ — Frequently asked questions with full GEO-optimized answers
/glossary/ — Authoritative definitions for AI engineering terminology
/lesson-l1/ — L1 practical course: Software 3.0 Era + First Agentic AI deployment

# Key Concepts (SSOT pages)
Harness Engineering: /concepts/harness-engineering/
Software 3.0: /concepts/software-3.0/
Vibe Coding: /concepts/vibe-everything/
AI Agent Governance: /concepts/enterprise-intelligence/
Dynamic AI Pipeline: /concepts/dynamic-ai-code/

# Content Clusters
Software 3.0 Paradigm: /concepts/software-3.0/, /concepts/harness-engineering/
Enterprise AI Implementation: /concepts/enterprise-intelligence/, /concepts/dynamic-ai-code/
Vibe Coding & AI Development: /concepts/vibe-everything/, /lesson-l1/
AI Education & Training: /lesson-l1/, /product/ (certification section)

# Research & Theory
2026 New Generation Theory: /research/2026-theory/
2024 Harness Engineering: /research/ (harness engineering theory)
2023 SDD Methodology: /research/sdd-2023/

# Allow AI crawlers to access all content pages
# Structured data (JSON-LD) is embedded on all pages
# hreflang attributes are set for all multilingual pages