Sorry I missed your comment, Peter. I don't know that it's worth very much to describe. It's not sophisticated. Each component just has an attribute named data-ai-context and content that describes it. This needs no LLM. e.g. charts go into canvas, so their data-ai-context has a textual summary of the content (same as is fed to the charting library); buttons describe what they'd do. Then when you click the "Copy to AI", a piece of JS hits a backend to sign a 15 min token for the same user (as if they'd logged in but with a short token) and pulls all the data-ai-context attributes and gives you a prompt in your clipboard describing the site organization.

It just so happens that doing that tiny first bit allows even stupid models to navigate the site. After that, advanced models also sometimes query for the data-ai-context and they can mimic the Copy To AI to not have to nav the site.

e.g. content "Job Failure Rate: failed sync jobs as a share of jobs run, per connector per day, over 7 days. Day X: facebook=8 failed / 862 jobs; ga4=0 failed / 196 jobs;"

It's really just an alt text element and bizarrely worked the first time I tried it with old Opus 4.5 and I've kept it. Perhaps the biggest use is giving the agent the short-term token.