What is AI Wayfinding at UAMS?
AI Wayfinding is a 2026 initiative that makes every UAMS web property legible to AI assistants. It is the signage layer of our web presence: a set of small files on every site that tell tools like ChatGPT, Claude, Gemini, Perplexity, and Microsoft Copilot what each site is, what it covers, and where to route users. The goal is simple: when someone asks an AI tool about UAMS, the answer should be accurate.
How it works: three small files
Every UAMS web property carries three small text files that tell AI tools what the site is, what it covers, and where to send users for the right next step.
The gatekeeper: robots.txt
The security desk that decides which AI tools are allowed to read each section of a site.
The handshake: llms.txt
A short, AI-readable summary that introduces the site and points to the most important content for answering questions.
The directory: llms-full.txt
A deeper content index that tells AI tools how to route questions, what to cite, and when to redirect users to a more appropriate UAMS site.
200+ UAMS web properties
This work applies to every public-facing UAMS website under Web Services governance, from uamshealth.com to individual college and department sites. The scale is the point. A patient asking about UAMS could land on any of them, and AI tools need a consistent way to understand each one.
How the work is governed
AI Wayfinding is part of UAMS’s broader digital ecosystem. The file triad, the pillar-hub cross-link model, and the quarterly citation audit are all documented in the Web Services knowledge base. Web Services maintains the files and runs the quality checks; the ecosystem overview explains how everything fits together.
Read the ecosystem overviewKnowledge base
Reference documentation on AI Wayfinding and the UAMS digital ecosystem, maintained by Web Services.
What is AI Wayfinding?
Start here if you are new to the concept. A plain-language overview of what AI Wayfinding is and why UAMS built it.
Read the overview
The Wayfinding file triad
The mechanics: what each of the three files does, how they fit together, and how UAMS maintains them across properties.
Read about the triad
UAMS digital ecosystem
The bigger picture. How AI Wayfinding fits into the broader UAMS web architecture and governance model.
Read the ecosystem overviewRelated news and stories
Longer-form posts from Web Services covering the origin of AI Wayfinding, the technical details, and adjacent accessibility work.
Wayfinding for machines
The origin story: why AI Wayfinding became necessary in 2026 and how the UAMS approach came together.
Read the story
Inside the file triad: a technical deep-dive
A longer narrative walkthrough of how the three files work together, with examples from UAMS properties.
Read the deep-dive
The Title II deadline has moved
A note on the DOJ’s revised accessibility deadline and how UAMS’s continued WCAG work connects to this initiative.
Read the update