We just launched PersonalAgentEval!πππ (https://t.co/5szGIeCoMq) The first benchmark built to evaluate personal agents across diverse users, preferences, and domains!
We benchmarked 7 popular personal agents across everyday workflows (e.g. booking dinners, paying bills, managing calendars). Each agent operated within accounts pre-loaded with 13 months of realistic history (347β470 records per person). To pass, an agent has to proactively spot crucial background details: like an unread message, a clause in a contract, or a promise made in a past chat. Each task and user simulation are validated and verified by real human.
Key Findings:
β’ π Overall Leaders: Instinct and OpenAI Dots topped the leaderboard.
β’ π Proactive Context Retrieval: Instinct excelled at uncovering crucial background detailsβfinding 64 of 72 key facts before the user brought them up.
β’ β‘ Speed & Efficiency: Grok Bot was both fast and effective, averaging 0.8 minutes of active work per task with a 50% completion rate. Meta Muse required the fewest average interaction turns.
β’ β οΈ Missing Promised Steps: Even leading agents missed crucial follow-up steps. In one task, all 7 agents correctly identified a pharmacy mentioned in past logs, but only Grok Bot and Meta Muse remembered to notify the caregiver as promised.
Explore the full leaderboard and read our case study and analysis:
https://t.co/5szGIeCoMq
(Building a personal AI agent? Reach out to us if youβd like to get your agent evaluated and featured on the leaderboard.)
#MatrAIx #AI #AIAgents #MachineLearning #LLMs #MetaMuse #GrokBot #OpenAIDots #Hark #ManusCue #Instinct
New survey: Toward Trustworthy CUAs
CUAs beat human baselines. So ready for real deployment?
Capability β trust. One bad click, stale memory, or ungated tool call cascades into irreversible harm across 5 trust boundaries.
https://t.co/BKbeAAVDK8
#CUA#AISafety#OpenClaw