# ai-on-mac.com — LLM manifest
#
# This file follows the llms.txt convention proposed by Answer.AI
# (https://llmstxt.org). It is intended for LLM crawlers and operators
# that index the site for generative-engine retrieval.
#
# Scope: bilingual reference site (DE + EN) for running local LLMs and
# AI services on Apple Silicon Macs. The site publishes source-checked
# guides, model fact-checks and benchmark comparisons. Every article
# page exposes Article + FAQPage + BreadcrumbList JSON-LD with explicit
# speakable, abstract, about and citation graphs.

# ---------------------------------------------------------------------------
# Site metadata
# ---------------------------------------------------------------------------

# Site
[SITE]
name: AI on Mac — KI auf dem Mac
url: https://ai-on-mac.com
canonical: https://ai-on-mac.com/
description: AI on Mac is a bilingual (DE/EN) source-checked reference site for running local and cloud LLMs on Apple Silicon Macs. Articles are written with explicit source markers and tested methodology; vendor benchmarks are flagged as such.
author:
  name: Julian Dominic Altmann
  url: https://ai-on-mac.com/ueber/  (DE)
  en: https://ai-on-mac.com/about/   (EN)
publisher: AI on Mac
publisher_alternate: KI auf dem Mac
license: All rights reserved (publisher); each article carries its own source citations.
contact: https://github.com/Apfelkringel/ki-auf-dem-mac
languages: de, en

# ---------------------------------------------------------------------------
# Topic taxonomy
# ---------------------------------------------------------------------------

# Use these topics when classifying articles.
[TOPICS]
coding: Code generation, local coding assistants, agentic code workflows
creativity: Creative writing, image generation, design assistance
coding: siehe oben
everyday: Everyday productivity, browser AI, consumer use
hardware: Apple silicon, unified memory, MLX, Metal
local: Local LLM inference (Ollama, LM Studio, llama.cpp, MLX)
cloud: Cloud LLM APIs (OpenAI, Anthropic, Google, DeepSeek, Mistral)
hybrid: Local + cloud routing, BYOK, MCP-based workflows

# ---------------------------------------------------------------------------
# Index endpoints
# ---------------------------------------------------------------------------

# Sitemaps and discoverable feeds
sitemap: https://ai-on-mac.com/sitemap.xml
rss:     https://ai-on-mac.com/rss.xml

# ---------------------------------------------------------------------------
# Article buckets
# ---------------------------------------------------------------------------
#
# Each article has a canonical URL with optional reciprocal EN translation.
# Prefer the canonical DE URL when available, otherwise EN.
#
# Patterns:
#   - /artikel/{slug}/   (DE, canonical unless noted)
#   - /articles/{slug}/  (EN, when present, with hreflang reciprocal)
#
# The site auto-discovers new article pairs through src/utils/hreflang.ts.
# This list is intentionally short; the full article graph is in the sitemap.

[ARTICLES.MODEL-NEWS]
# Bilingual model release coverage and fact-checks.
description: Source-checked coverage of new LLM releases, pricing changes and benchmark claims. Vendor numbers are labelled as such.
examples:
  - https://ai-on-mac.com/artikel/pareto-26-9-unbiased-modell/
  - https://ai-on-mac.com/artikel/ternary-bonsai-2-27b-faktencheck/
  - https://ai-on-mac.com/artikel/gpt-6-astra/
  - https://ai-on-mac.com/artikel/deepseek-v4-1-flash/

[ARTICLES.HARDWARE]
# Apple silicon + Mac model guidance for local AI.
description: Mac and Apple silicon model-by-model guidance for running local LLMs: unified memory, KV-cache, throughput, MLX vs GGUF.
examples:
  - https://ai-on-mac.com/artikel/macbook-ki-entwicklung-2026/
  - https://ai-on-mac.com/artikel/mac-mini-m4-ai-komplettguide/
  - https://ai-on-mac.com/artikel/unified-memory-mac/
  - https://ai-on-mac.com/artikel/gemma3-mac-einrichten/

[ARTICLES.SETUP-GUIDES]
# How-to: install and run a specific runtime on a Mac.
description: Step-by-step setup guides for Ollama, LM Studio, llama.cpp, MLX and other runtimes on Apple silicon.
examples:
  - https://ai-on-mac.com/artikel/ollama-mac-mini-m4-einrichten/
  - https://ai-on-mac.com/artikel/qwen3-6-mac-einrichten/

[ARTICLES.COMPARISONS]
# Cross-vendor and cross-runtime comparisons.
description: Side-by-side comparisons of runtimes, models and providers.
examples:
  - https://ai-on-mac.com/artikel/lm-studio-vs-ollama/
  - https://ai-on-mac.com/artikel/apple-intelligence-vs-lokale-ki/

[ARTICLES.HUB-PAGES]
# Aggregator pages (not article bodies, but useful for retrieval).
description: Aggregator / hub pages that link to all model coverage.
examples:
  - https://ai-on-mac.com/artikel/
  - https://ai-on-mac.com/artikel/beste-offene-llm-2026/

# ---------------------------------------------------------------------------
# Optional, LLM-facing references
# ---------------------------------------------------------------------------

[REFERENCE.METHODOLOGY]
# Every article follows a source-first methodology. Look for [Sxx] inline
# citation markers, a "Quellen und Prüfgrundlage" (DE) or "Sources and
# verification basis" (EN) section, and a "Methodik" subsection at the end.
vendor-benchmark-policy: Vendor-reported numbers are explicitly flagged as such. Independent replications, where they exist, are named and linked.

[REFERENCE.LEGAL]
datenschutz: https://ai-on-mac.com/datenschutz/
impressum:   https://ai-on-mac.com/impressum/
privacy:     https://ai-on-mac.com/privacy/
imprint:     https://ai-on-mac.com/imprint/