#uxforai
Live, measured metrics for the hashtag #uxforai from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #uxforai
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 08:17 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 08:17 UTCNo related tags with measured usage found for #uxforai.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 08:17 UTCEverything below is measured over the latest 5 public posts (spanning ~4519 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 0.6
Top of the latest posts
#Accessibility failures in agentic systems do not always look like exclusion. More often, they look like missing disagreement, silent participants, incomplete organizational memory, or teams mistaking workflow silence for real alignment. #A
Most #AI transparency discussions assume a single model explaining a single output. But what if #reasoning involves multiple layers, workflows, and #agents? The challenge might not be explainability but interrogability. #AgenticAI #Artifici
Engineers run the AI evals. But who decides what “good” actually means? If your criteria only measure what’s easy, your product will optimize for the wrong things. Should designers and PMs own eval criteria? Let’s debate. #AIEvals #ProductD
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/uxforai