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EMERGING COMMUNITY STANDARD · EXPERIMENTAL

llms.txt Validator & Generator.

Validate your markdown `/llms.txt` file structure, estimate token consumption, and generate clean machine-readable context files for autonomous AI discovery.

Technical Note & Claim Discipline: `llms.txt` is an emerging, proposed community convention designed to provide LLMs and autonomous agents with concise, token-efficient context. It is not an official search engine ranking requirement, nor does deploying it guarantee citations in consumer AI products.

184 words · ~490 tokens

Token Budget (Root /llms.txt)

Optimal Size
490/ 2,500 recommended tokens

Root `/llms.txt` should remain under 2,500 tokens for fast ingestion. Extended datasets, research papers, and lengthy transcripts should be linked in a secondary `/llms-full.txt` endpoint.

Proposed Convention Checkpoints

1. Single H1 Title (`# OrgName`)

Found title: "Infinitus"

2. Blockquote Summary (`> Summary`)

Concise mission statement / summary detected.

3. Structured H2 Sections (`## Name`)

Found 4 H2 sections (Core Practice Areas, Key Frameworks & Benchmarks...).

4. Link Format (`- [Name](url): Desc`)

Found 12 valid formatted resource links.

Where Should llms.txt Live on Your Web Server?

Deploy your `/llms.txt` file at the root level of your public domain (e.g. `https://www.yourdomain.com.sg/llms.txt`). In Next.js applications, place the file in the `public/` directory so it is served statically. You may also reference it in your footer and XML sitemap.