---
title: "AI Future Ready"
type: index
id: "site-index"
description: "Agent-ready AI reference. Structured markdown with YAML frontmatter, JSON APIs, and machine-readable discovery. Built for both humans and AI agents."
last_updated: "2026-04-24"
agent_protocols:
well_known_ai: "/.well-known/ai.json"
llms_txt: "/llms.txt"
llms_full: "/llms-full.txt"
json_api: "/api/v1/index.json"
schema: "/api/v1/schema.json"
changes: "/api/v1/changes.json"
search_index: "/search-index.json"
raw_content: "/content/_index.md"
feed_json: "/feed.json"
feed_xml: "/feed.xml"
mcp_docs: "/mcp"
sitemap: "/sitemap.xml"
view_modes:
default: "agent"
agent: "Raw markdown view with YAML frontmatter."
human: "Rendered markdown view with richer typography and color."
commercial:
pricing: "/pricing"
pro_data: "/pricing/pro-data"
commercial_license: "/pricing/commercial-license"
agent_readiness_audit: "/pricing/agent-readiness-audit"
pro_data_sample: "/api/v1/samples/pro-data.json"
pricing_snapshots: "/api/v1/pricing-snapshots.json"
contact: "/contact"
about: "/about"
---
# AI Future Ready
A structured, agent-ready reference for the AI landscape. Every page is pure markdown with YAML frontmatter, served in multiple formats: rendered HTML for humans, raw markdown for agents, and structured JSON via API.
## View Modes
- **Agent mode:** raw markdown, visible YAML frontmatter, terminal-style monospace, source-faithful.
- **Human mode:** rendered markdown, stronger typography, color, spacing, and table formatting.
The view switch changes presentation only. Raw markdown, `llms.txt`, JSON APIs, hashes, feeds, and content URLs do not change.
## Agent Access
If you are an AI agent, start here:
- **Discovery:** [llms.txt](/llms.txt) — machine-readable index of all content
- **Well-known manifest:** [/.well-known/ai.json](/.well-known/ai.json) — protocol discovery for agents
- **Full dump:** [llms-full.txt](/llms-full.txt) — all content in a single file
- **JSON API:** [/api/v1/index.json](/api/v1/index.json) — structured data for all content types
- **Schema:** [/api/v1/schema.json](/api/v1/schema.json) — field types, required fields, examples, and generated fields
- **Raw markdown:** `/content/[type]/[slug].md` — any page as markdown with YAML frontmatter
- **Search:** [search-index.json](/search-index.json) — structured index with titles, descriptions, tags
- **Changes:** [/api/v1/changes.json](/api/v1/changes.json) — queryable changes with `?since=YYYY-MM-DD`
- **Change feed:** [feed.json](/feed.json) and [feed.xml](/feed.xml) — detect updates without crawling everything
- **Recommendations:** [/api/v1/recommend.json](/api/v1/recommend.json) — pre-scored model rankings by task
- **Agent usage:** [Agent Usage Guide](guides/agent-usage.md) — concrete fetch patterns for AI agents
- **MCP access:** [/mcp](/mcp) — local MCP server setup and available tools
- **Commercial access:** [Pricing](pricing/_index.md), [Pro Data](pricing/pro-data.md), [Commercial Data License](pricing/commercial-license.md), and [Agent Readiness Audit](pricing/agent-readiness-audit.md)
- **Public sample:** [/api/v1/samples/pro-data.json](/api/v1/samples/pro-data.json) — representative Pro Data shape
- **Pricing snapshots:** [/api/v1/pricing-snapshots.json](/api/v1/pricing-snapshots.json) — generated model pricing snapshot
## Content
- [Models](models/_index.md) — 33+ AI models with benchmarks, pricing, and structured metadata
- [Providers](providers/_index.md) — Provider profiles for model ecosystems and selection tradeoffs
- [Agents](agents/_index.md) — 15+ agent platforms and frameworks
- [API Reference](api-reference/_index.md) — Agent-facing API, discovery, schema, samples, and changelog docs
- [Comparisons](comparisons/_index.md) — Head-to-head model analysis
- [Blog](blog/_index.md) — Opinionated analysis of the AI landscape
- [Glossary](glossary/_index.md) — 76 AI terms
- [Timeline](timeline/_index.md) — 77 events from 1950 to 2026
- [Guides](guides/_index.md) — Model-selection playbooks, recipes, methodology, and foundations
- [Use Cases](use-cases/_index.md) — AI applied to writing, coding, business, education, research
- [Pricing](pricing/_index.md) — Free access, Pro Data, commercial licensing, agent-readiness audits, and model pricing references
- [Prompt Patterns](prompt-patterns/_index.md) — Provider-specific prompt templates
- [About](about.md) — What the site is, why it exists, and how to trust the data
- [Contact](contact.md) — Request checklist for Pro Data, audits, licensing, or sponsorship; no payment flow is configured
## Content Schema
Every content file uses YAML frontmatter. Common fields:
- `title` — page title
- `type` — content type (model, agent, blog, guide, comparison, etc.)
- `description` — one-line summary
- `last_updated` — ISO date of last content update
- `last_verified` — ISO date factual claims were last checked, when available
- `content_hash` / `sha256` — generated SHA-256 hash of the raw markdown in JSON outputs
- `relationships` — generated internal links and related content in JSON outputs
Model-specific fields: `id`, `provider`, `pricing`, `benchmarks`, `context_window`, `best_for`, `tags`
Agent-specific fields: `id`, `category`, `website`, `license`, `pricing`, `languages`, `best_for`
## About
This site demonstrates agent-ready web architecture: structured content, machine-readable metadata, multiple access protocols, and dual-audience design. The AI reference library is both useful content and a living proof-of-concept.
Last updated: 2026-04-24
AI Future Ready
A structured, agent-ready reference for the AI landscape. Every page is pure markdown with YAML frontmatter, served in multiple formats: rendered HTML for humans, raw markdown for agents, and structured JSON via API.
View Modes
- Agent mode: raw markdown, visible YAML frontmatter, terminal-style monospace, source-faithful.
- Human mode: rendered markdown, stronger typography, color, spacing, and table formatting.
The view switch changes presentation only. Raw markdown, llms.txt, JSON APIs, hashes, feeds, and content URLs do not change.
Agent Access
If you are an AI agent, start here:
Content
- Models — 33+ AI models with benchmarks, pricing, and structured metadata
- Providers — Provider profiles for model ecosystems and selection tradeoffs
- Agents — 15+ agent platforms and frameworks
- API Reference — Agent-facing API, discovery, schema, samples, and changelog docs
- Comparisons — Head-to-head model analysis
- Blog — Opinionated analysis of the AI landscape
- Glossary — 76 AI terms
- Timeline — 77 events from 1950 to 2026
- Guides — Model-selection playbooks, recipes, methodology, and foundations
- Use Cases — AI applied to writing, coding, business, education, research
- Pricing — Free access, Pro Data, commercial licensing, agent-readiness audits, and model pricing references
- Prompt Patterns — Provider-specific prompt templates
- About — What the site is, why it exists, and how to trust the data
- Contact — Request checklist for Pro Data, audits, licensing, or sponsorship; no payment flow is configured
Content Schema
Every content file uses YAML frontmatter. Common fields:
title — page title
type — content type (model, agent, blog, guide, comparison, etc.)
description — one-line summary
last_updated — ISO date of last content update
last_verified — ISO date factual claims were last checked, when available
content_hash / sha256 — generated SHA-256 hash of the raw markdown in JSON outputs
relationships — generated internal links and related content in JSON outputs
Model-specific fields: id, provider, pricing, benchmarks, context_window, best_for, tags
Agent-specific fields: id, category, website, license, pricing, languages, best_for
About
This site demonstrates agent-ready web architecture: structured content, machine-readable metadata, multiple access protocols, and dual-audience design. The AI reference library is both useful content and a living proof-of-concept.
Last updated: 2026-04-24