Using This Site with AI Assistants

Ask your assistant

Copy this prompt into any assistant that can read web pages, then add your question. It tells the assistant to read this site instead of answering from memory, and to give a link for each fact.

Answer my questions about the Quantitative Research Society (QRS) from its website, https://qrsntu.org, not from memory.

Read https://qrsntu.org/llms.txt first: it lists every page. To find the right pages, search https://qrsntu.org/data/site-index.json (every page and section as plain text, with its URL). For the full text of a page, add index.md to its address (https://qrsntu.org/about/ becomes https://qrsntu.org/about/index.md).

Give the page URL for each fact. If the site does not answer a question, say so instead of guessing.

My question: [write it here]

The search box at the top of every page (or the / key) offers the same prompt with your search words filled in.

What assistants can read

Everything below is a plain file on the site. No account, API key or JavaScript is needed.

• llms.txt: an index of every page, by section, with a one-line description of each.
• index.md beside every page: the page as Markdown, without the layout. Lists that pages draw with JavaScript, such as people, projects and publications, are written out in full.
• data/site-index.json: every page and section as plain text with its URL, plus the Math Notes courses, publications and events. The site's search box reads this file.
• llms-full.txt: all pages in one file. Pages longer than about 8 KB are shortened there and name their full Markdown copy.
• summary.md on each research project, for example GeoAFT: a short account of the design, the results and the limitations, written from the evidence behind the project pages.
• The data behind the pages as JSON: people, projects, publications, events, news and Math Notes courses, with a download link for every past paper.

By assistant

• Claude, ChatGPT and Gemini apps: turn on web search or browsing if your plan has it, then paste the prompt above. Assistants without web access cannot read the site and will answer from memory.
• Claude Code, Codex and other coding agents: ask the agent to fetch https://qrsntu.org/llms.txt, or to download data/site-index.json and search it locally.
• Your own code: fetch the files above directly. They change only when the site is rebuilt; the sitemap gives the date each page's content last changed.

NeurIPS 2026 guide: API and MCP

Our NeurIPS 2026 attendee guide has more for assistants than the rest of the site: a REST API and MCP servers that search the schedule, check clashes and save an itinerary at a permanent link. Setup for Claude, ChatGPT and Gemini is on its AI assistants page, and its own index is service/neurips26/llms.txt.

The rest of qrsntu.org has no API or MCP server. It is small enough that the files above answer the same questions.

What these files hold

They hold only what the public pages show. Research Academy applications and assessments are not on this site and are not in these files; see Privacy. Assistants can make mistakes: the web page is the reference, and corrections are welcome at contact@qrsntu.org.