#agentevaluation
Live, measured metrics for the hashtag #agentevaluation from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #agentevaluation
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 · mastodon.online (Mastodon public tags API) · fetched 2026-11-03 02:01 UTC2 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-11-03 02:01 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-03 02:01 UTCEverything below is measured over the latest 28 public posts (spanning ~10115 hours).
Posting hours (UTC) — busiest: 01:00
Languages: English (28)
Avg boosts / post: 0
Top of the latest posts
AI agents need to do more than generate the right answers. They need to take the right actions. #MicrosoftCopilot #CopilotStudio #AIAgents #ArtificialIntelligence #AgentEvaluation https://dellenny.com/copilot-studio-introduces-tool-accuracy
We benchmark LLMs at PostHog on practical tasks with real data PostHog는 실제 업무에 맞춰 에이전트의 모델, 하네스, 프롬프트를 평가하는 벤치마크 구축 사례를 소개했다. 코드 리뷰 에이전트 ReviewHog 평가를 위해 실제 장애 33건과 원인 PR을 골든셋으로 구성했으며, ReviewHog는 장애 원인 버그의 62%를 발견했다. 개방형 작업에는 공통 평가 기준과 작업 맥
Michael Murray (@MGMurray1) 멀티 에이전트 운영에서 각 에이전트에 담당 영역, 에스컬레이션 조건, 결과 검토자, 절대 위반하면 안 되는 규칙을 담은 짧은 역할 카드를 두는 방식을 제안했다. 특히 산출물을 생성한 에이전트와 이를 검증·승인하는 에이전트를 분리해 자기검증 편향을 줄이는 원칙이 핵심이다. https://x.com/MGMurray1/status/2115064224611549486 #multiage
#agentevaluation across platforms
every network with a public tag surfaceFollow #agentevaluation straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/agentevaluation