发布 HN:Agnost AI (YC S26) —— 从智能体对话中提取用户反馈
Launch HN: Agnost AI (YC S26) – Extract user feedback from agent conversations

原始链接: https://agnost.ai

“通过与 Agnost AI 合作,我们为 MCP Toolbox for Databases 集成了全面的可观测性功能。” “Agnost AI 在追踪分析数据和错误率方面非常有用。” “自从 Agnost AI 揭示了那些真正实现转化对话背后的模式后,我们的语音业务拓展代表(Voice BDR)在预约会议方面的能力有了显著提升。” 1,247 条来自用户对话的功能需求被挖掘出来。 “Agnost AI 向我展示了用户正在询问我们尚未提供的功能。我之前对此一无所知。所有这些反馈原本只是沉睡在我们已有的对话记录中。” “Agnost AI 是我们改进智能体(Agent)的方式。我们看到需要改进的地方,发布更新,然后更快地迭代。就这么简单。” 16/18 个自动生成的 PR 已合并。 “Agnost AI 发现了潜藏在我们智能体对话中的错误,并连夜提交了修复这些问题的 PR。”

抱歉。
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原文

In collaboration with Agnost AI, we have integrated comprehensive observability features into MCP Toolbox for Databases.

Agnost AI is very useful in tracking analytics and error rates.

Our Voice BDRs got meaningfully better at booking meetings once Agnost AI surfaced the patterns behind the conversations that actually converted.

1,247feature requests surfaced from user chats

Agnost AI showed me users were asking for features we don't even have. I had no idea. All that feedback was just sitting inside conversations we already had.

Agnost AI is how we make our agents better. We see what to improve, ship it, and move faster. Simple as that.

16/18autonomous PRs merged

Agnost AI spotted bugs buried in our agent's conversations and opened PRs to fix them overnight.

联系我们 contact @ memedata.com