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PMs: How Are You Monitoring Your LLM Chatbot?

1•aman_madhukar02•5h ago
Curious to hear from other Product Managers (or anyone working closely with LLM-powered chatbots):

- How are you currently monitoring the performance, behavior, and output quality of your chatbot? - What metrics or KPIs matter most to you (e.g., hallucination rate, latency, user satisfaction, retention)? - Are you using any specific tools or dashboards? Any homegrown solutions? - How do you handle error tracking, feedback loops, or regression when updating prompts/models?

We’re building something in this space and want to better understand real-world practices, pain points, and what “good monitoring” looks like for LLM products.

Would love to learn from your experiences—thanks in advance!

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The Copilot Delusion

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AskHN: Best, simplest platform to run a Technical Interview on?

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Anthropic boss: 'huge demand' for our AI models in the UK

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The Relation of Boredom and Sadistic Aggression

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Latin America's Baby Bust Is Arriving Early

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https://twitter.com/hashemghaili/status/1925616536791760987
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https://github.com/TheAthenaProjectOfficial/Athena-Framework
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Sketchy Calendar

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