Tag: accessibility
Agent-ready website: what I built on two sites and what has evidence
An agent-ready website, as I built it on tallyfy.com and this site, means llms.txt, schema, WebMCP tools and discovery files. Ahrefs found 97% of llms.txt files got zero requests in May 2026. Some of those parts have evidence behind them, and I took out several that did not.
Accessibility overlays do not work, and AI auditing is the opposite
An accessibility overlay is one line of JavaScript that promises ADA compliance while you do nothing. The FTC fined accessiBe a million dollars over that promise. Here is why a widget cannot fix a problem that lives in your code, and how real AI auditing does the reverse by finding the broken line so a person can change it.
Can AI actually do accessibility testing? I ran it on my own product
Automated accessibility tools catch maybe a third of WCAG problems. I pointed Claude Code at Tallyfy, my own product, and let it run a real WCAG 2.2 audit with a live screen reader across four codebases. It found bugs that axe-core cannot see, and it showed clearly where the work still needs a person.
What a VPAT costs, and why the report is the cheap part
A VPAT is the report that states how accessible your product is, measured against WCAG. People ask what it costs and price the document, but the document is the cheap part. The real cost is re-auditing every release, and that is the number an AI agent actually moves. Here is the ADA, WCAG, Section 508 and EN 301 549 stack underneath it.
What axe-core misses, and how AI caught it with a real screen reader
Axe-core catches about a quarter of WCAG failures and skips anything that needs judgment. Here are the thirteen criteria a scanner cannot decide, how an AI agent drives a real VoiceOver session to cover them, and the save button that passed every automated check and was silent to a blind user.
AI for non-technical teams: making it accessible
Finance, HR, and operations teams often extract more value from AI than engineering does. MIT research shows only 5 percent of organizations capture major AI value. The ones that succeed start with business problems, not technology.