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Peter Yang
@petergyang
Practical AI tutorials and interviews for busy people | Get my best AI skills and guides at
加入 October 2009
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With AI agents, more user engagement does not necessarily mean more value. A user can spend five minutes talking to an agent and leave frustrated because it never answered their question. Instead, you have to look at the traces - the actual conversations, responses, and tool calls, to understand whether the agent did its job. That’s why I’m excited to try @Amplitude_HQ's new Agent Analytics. It combines traces with evals that measure the quality of agent interactions, then connects both to what users do next. This way, teams can see: - What the user was trying to accomplish - Where the agent failed - Whether good and bad answers affected KPIs Early results show why this matters: - The Economist (see below) reached 96.9% task success and cut weekly task failures by 84%. - Across 20K+ Amplitude users, a positive first agent experience was associated with 3× higher retention. Check out Agent Analytics here:
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Since 1843 @TheEconomist has been fact-checking the world. Now they're fact-checking their AI. Here’s how The Economist improved their AI research assistant with Amplitude Agent Analytics.
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