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    Spenser Skates Launches Agent Analytics

    Amplitude CEO highlights blind spots in monitoring AI agents once deployed to production.

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    2 Sources, 29d ago, first seen 29d ago

    TLDR

    Spenser Skates announced the launch of Agent Analytics from Amplitude. The post states that teams building AI agents often see offline evaluations pass yet lack any view into real production behavior. It describes silent failures where users receive inconsistent answers that still register as engaged on standard dashboards. Skates notes the absence of visibility into which users encounter problems or how responses diverge. The announcement presents the new product as a direct response to this gap in post-deployment observation.

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    45.9K

    2 Sources, first seen 29d ago

    Combined views

    45.9K

    2 Sources, first seen 29d ago

    198 likes
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    51 comments
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    86 reposts

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    Positive——Negative

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    2 Sources

    @spenserskatesToday we're launching Agent Analytics Every team shipping an AI agent has the same blind spot. Offline evals pass, you ship, and then you have no idea what's happening in production. AI fails silently. Users ask a question and get different answers. They all look 'engaged' in a classic dashboard. You don't know who got a great response and who got a terrible one. Agent Analytics solves it: - Every session scored out of the box on task completion, response quality, friction, safety, and negative feedback - Topic clustering across thousands of conversations, so you know if a failure hits 1 user or 10,000 - Eval agents that watch for regressions, and if you want will file a Linear ticket or the pull request themselves - Agent quality sits next to product data, so 'payment scheduling fails 31%' becomes 'which renewals did that cost us?' The Economist got their agent to a 96.9% task success rate and cut weekly failures 84%. Included on every plan. Free tier included. http://amplitude.com/agent-analytics
    @ScobleizerRT @spenserskates: Today we're launching Agent Analytics Every team shipping an AI agent has the same blind spot. Offline evals pass, you…

    2 Sources

    @spenserskatesToday we're launching Agent Analytics Every team shipping an AI agent has the same blind spot. Offline evals pass, you ship, and then you have no idea what's happening in production. AI fails silently. Users ask a question and get different answers. They all look 'engaged' in a classic dashboard. You don't know who got a great response and who got a terrible one. Agent Analytics solves it: - Every session scored out of the box on task completion, response quality, friction, safety, and negative feedback - Topic clustering across thousands of conversations, so you know if a failure hits 1 user or 10,000 - Eval agents that watch for regressions, and if you want will file a Linear ticket or the pull request themselves - Agent quality sits next to product data, so 'payment scheduling fails 31%' becomes 'which renewals did that cost us?' The Economist got their agent to a 96.9% task success rate and cut weekly failures 84%. Included on every plan. Free tier included. http://amplitude.com/agent-analytics
    @ScobleizerRT @spenserskates: Today we're launching Agent Analytics Every team shipping an AI agent has the same blind spot. Offline evals pass, you…