Launch HN: Laminar (YC S24) – We trained a model to catch silent agent failures

Launch HN: Laminar (YC S24) – We trained a model to catch silent agent failures

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  • Hacker News
  • Congrats on the product! I love the design of the website and the app. Curious whether it was made in-house, by an external design agency, with AI models, or something else
  • Very cool. I liked the high level overview where you can view it like do a funnel analysis for failures. Good for fast decision making.

    I wonder if you have thought of using this for the voice AI space for creating traces from many test calls to speed up testing of voice bots? It's true there are a lot of challenges _before_ one gets to the stage of running actual calls like creating good test data etc, but I wonder if you see a definite role for this framework in that space?

  • To answer your question - we use cheaper models to just flag if something looks obviously flawed. That covers the vast majority of things because it's the propagation of obviously stupid stuff that causes a problem for our system. To the extent we are doing something sophisticated, we use an appropriate architecture, like it's built into the system.

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