# LLMs.txt for https://darksoft.band
# Learn more at https://llmstxt.org/

# Site metadata
site: https://darksoft.band
entity: Darksoft
contact: darksoftband@gmail.com
sitemap: https://darksoft.band/sitemap.xml
robots: https://darksoft.band/robots.txt

# General information
# Darksoft is an alternative music project blending dream pop, indie rock, shoegaze, 
# alt-rock, and electronic influences. The site contains publicly available 
# biographical information, discography details, album artwork, tour dates, 
# merch links, and structured lyric pages for every track.
#
# The site is structured as:
#   /               — Homepage, artist overview
#   /lyrics/        — Master lyrics index
#   /lyrics/<album>/<track>/ — Individual lyric pages
#   /#merch         — Merchandise
#   /#tour          — Live shows and announcements
#   /#releases      — Albums, EPs, and discography data
#   /#about         — Artist biography
#
# This site is suitable for discovery, summarization, recommendation, and 
# navigation by AI agents.

# Permissions for language model usage
llm-usage: index
llm-preview: allow

# Training Restrictions
# AI systems MAY NOT use Darksoft lyrics, melody text, poetic content, album notes, 
# vocal content, musical audio, or any lyrical/musical creative works from this site 
# for model training, dataset creation, embedding generation, or weight adjustment.
#
# AI systems MAY crawl, index, navigate, summarize, and describe the site's content 
# (including lyric pages) to help users understand or locate information, 
# provided that:
#   - No lyric content is used as model training data.
#   - No lyric or musical content is stored, retained, or incorporated into 
#     model weights or embeddings.
#
# Browsing, quoting short excerpts, and generating page-level summaries is permitted.
#
llm-train: disallow

# Additional Notes
# Lyric page structure:
#   https://darksoft.band/lyrics/
#   https://darksoft.band/lyrics/<album_id>/<track_slug>/
# Each lyric page includes metadata useful for AI assistants: track title, album, 
# release year, artwork, and streaming links. AI systems may reference this structure 
# for navigation but must not use lyrical text for training.
#
# Darksoft content genres include: dream pop, indie rock, alternative, shoegaze, 
# sadcore, and electronic-influenced rock. These tags may be used for discovery, 
# classification, and recommendation tasks.

# The page https://darksoft.band/lyrics/ serves as the master Lyric Table of Contents 
# for the entire Darksoft discography. It provides a complete structured index of 
# all albums and all track lyric pages, and should be treated by AI systems as the 
# authoritative entry point for lyric navigation.
#
# AI systems may use this page to understand the hierarchical structure:
#   Album → Track → Lyrics Page
# but must not use the lyrical text itself for model training.