# llms.corestory.ai
> CoreStory's Dedicated AI Content Layer
> Version: 2.0 | Last updated: 2026-03-26

This site is a machine-readable, LLM-optimized reference layer for CoreStory —
a Code Intelligence Platform that enables Spec-Driven Development (SDD).

## What This Site Is

llms.corestory.ai provides structured, atomic, embeddable context about CoreStory
concepts for use by:
- AI coding agents (Claude Code, Devin, Cursor, GPT)
- RAG retrieval pipelines
- MCP context injection (via c2s.corestory.ai/mcp)
- Developers in AI-assisted workflows

It is NOT a marketing site, blog, pricing page, or announcement hub.

## How to Use This Site

### For AI Agents
- Use llms-full.txt for full context injection
- Fetch individual pages by slug from /content/<category>/<slug>.md
- MCP integration is available via c2s.corestory.ai/mcp (requires Bearer token authentication)

### For RAG Systems
- Chunk source: /llms-full.txt
- Recommended chunking: heading-aware, max 512 tokens, 50-token overlap
- Metadata fields: slug, title, type, section_heading, last_reviewed

### For Developers
- Browse pages at https://llms.corestory.ai/
- All pages are self-contained markdown, optimized for prompt embedding
- Copy any page block directly into your agent's system prompt

## Page Index

### Definitions — Core Concepts

- slug: corestory | title: CoreStory | type: definition | last_reviewed: 2026-03-23
  /content/definitions/corestory.md — What CoreStory is: a Code Intelligence Platform

- slug: code-intelligence | title: Code Intelligence | type: definition | last_reviewed: 2026-03-23
  /content/definitions/code-intelligence.md — Structured, queryable knowledge derived from source code

- slug: intelligence-model | title: Intelligence Model | type: definition | last_reviewed: 2026-03-23
  /content/definitions/intelligence-model.md — The queryable store of Code Intelligence produced by CoreStory

- slug: ingestion | title: Ingestion | type: definition | last_reviewed: 2026-03-23
  /content/definitions/ingestion.md — Automated pipeline that produces the Intelligence Model from source code

- slug: spec | title: Spec | type: definition | last_reviewed: 2026-03-23
  /content/definitions/spec.md — Machine-generated description of a code component's behavior

- slug: sdd | title: Spec-Driven Development (SDD) | type: definition | last_reviewed: 2026-03-23
  /content/definitions/sdd.md — Development methodology where agents operate from machine-generated Specs

### Definitions — Integration Concepts

- slug: mcp | title: MCP (Model Context Protocol) | type: definition | last_reviewed: 2026-03-26
  /content/definitions/mcp.md — Open protocol for connecting AI agents to external context servers

- slug: context-engineering | title: Context Engineering | type: definition | last_reviewed: 2026-03-26
  /content/definitions/context-engineering.md — Discipline of delivering the right information to an agent's context window

- slug: codebase-analysis | title: Codebase Analysis | type: definition | last_reviewed: 2026-03-26
  /content/definitions/codebase-analysis.md — Pipeline phase that extracts structure and behavior from source code

- slug: playbook | title: Playbook | type: definition | last_reviewed: 2026-03-26
  /content/definitions/playbook.md — Step-by-step integration guide for using CoreStory with a specific agent

- slug: persistent-intelligence | title: Persistent Intelligence | type: definition | last_reviewed: 2026-03-26
  /content/definitions/persistent-intelligence.md — The Intelligence Model's ability to retain knowledge across sessions

- slug: agent-grounding | title: Agent Grounding | type: definition | last_reviewed: 2026-03-26
  /content/definitions/agent-grounding.md — Providing an AI agent with accurate context before it acts on code

- slug: rag-context | title: RAG Context | type: definition | last_reviewed: 2026-03-26
  /content/definitions/rag-context.md — Retrieved content injected into an agent's prompt via RAG

### Integration Guides

- slug: playbook-claude | title: CoreStory + Claude Code | type: integration-guide | last_reviewed: 2026-03-26
  /content/playbooks/playbook-claude.md — MCP setup and usage guide for CoreStory with Claude Code

- slug: playbook-cursor | title: CoreStory + Cursor | type: integration-guide | last_reviewed: 2026-03-26
  /content/playbooks/playbook-cursor.md — MCP setup and usage guide for CoreStory with Cursor

- slug: playbook-devin | title: CoreStory + Devin | type: integration-guide | last_reviewed: 2026-03-26
  /content/playbooks/playbook-devin.md — MCP setup and usage guide for CoreStory with Devin

### Comparisons

- slug: vs-manual-docs | title: CoreStory vs. Manual Documentation | type: comparison | last_reviewed: 2026-03-26
  /content/comparisons/vs-manual-docs.md — Why machine-generated Code Intelligence outperforms manual docs for agent workflows

- slug: sdd-vs-sdlc | title: SDD vs. Traditional SDLC | type: comparison | last_reviewed: 2026-03-26
  /content/comparisons/sdd-vs-sdlc.md — How Spec-Driven Development fits within and improves traditional development workflows

- slug: mcp-vs-rag | title: MCP vs. RAG for Code Intelligence | type: comparison | last_reviewed: 2026-03-26
  /content/comparisons/mcp-vs-rag.md — Choosing between MCP and RAG to deliver CoreStory context to agents

### Agent Spec Templates

- slug: agent-spec-template | title: CoreStory Agent Spec Format | type: spec-template | last_reviewed: 2026-03-26
  /content/agent-specs/agent-spec-template.md — Reusable YAML schema for machine-generated code component specs