The Agent-Friendly Web is a design philosophy and ongoing project pursued by Jan_Wilmake from 2024 onwards. Its central thesis: the existing internet is built for human eyes — rendered HTML, JavaScript-heavy interfaces, CAPTCHAs, and session cookies — and is deeply hostile to AI agents that consume information as text. Jan's mission is to fix this at the infrastructure level by building URL-accessible, token-efficient mirrors of major information sources.
His own formulation: "I'm On a Mission To Make The Open Internet Agent-Friendly through URLs (Universal Resource Locators)."
Jan built a family of tools — each a mirror of a major platform that returns clean, structured Markdown rather than HTML. These mirrors can be called by AI agents, LLMs, or any HTTP client with no authentication overhead:
| Mirror | Source Platform |
|---|---|
| uithub.com | GitHub repositories |
| googllm.com | Google Search results |
| flaredream.com | Cloudflare Dashboard |
| openapisearch.com | Public APIs (OpenAPI specs) |
| xymake.com | X / Twitter |
| arxivmd.org | ArXiv research papers |
Each mirror follows the same principle: take a URL that would normally return rendered HTML (or require login), and return the same information in a format a language model can consume directly.
The concept is grounded in Jan's broader belief that everything is an information stream and that reducing friction between raw information and AI reasoning is a precondition for building reliable AI agents. A human navigating GitHub can tolerate JavaScript loading states and visual chrome; an LLM calling an API cannot.
The deeper commercial insight Jan articulated: rather than building yet another AI application, owning the access layer between the internet and AI systems creates a durable infrastructure position — similar to how search engines created durable positions by indexing the web before anyone else.
In October 2025, Jan launched LLMTEXT — an open-source toolkit for the llms.txt standard — under Parallel_AI's banner. The toolkit extends the Agent-Friendly Web mission from URL mirrors to documentation standards: rather than mirroring platforms that don't expose clean text, LLMTEXT helps websites publish clean text proactively.
Three tools shipped at launch:
Jan's framing at launch: "AI has overtaken humans as the primary user of the web."
In March 2026, Jan launched Markdown_Browser (markdownbrowser.com) — a browser extension and web tool that shows any URL's markdown representation alongside its llms.txt navigation sidebar. His framing: "The web is bifurcating. For 30 years we had one web — built for human eyes. Now a second web is emerging: markdown, structured data, and llms.txt files that AI agents consume. There's no browser for that second web. Until now."
Between October 2025 and early 2026, Jan's core thesis received significant external validation:
curl -H 'accept:text/markdown'openapisearch went viral in March 2025 (100k+ pageviews), validating the core premise that developers wanted agent-friendly access to API specifications. uithub had three separate viral events (October 2024, December 2024, March 2025) each exceeding 100k pageviews.
In March 2026, Cloudflare launched a /crawl endpoint — one API call to crawl an entire site, returning content in HTML, Markdown, or JSON. This represented platform-level validation of the Agent-Friendly Web thesis: major infrastructure companies treating markdown output as a first-class concern.