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laalshaitaan

HN member
Joined
Tue, Oct 31, 2023, 10:30 AM UTC
HN karma
114
Public activity
131 items

About laalshaitaan

Agnost AI (YC S26)

Recent public activity

  1. comment
    Comment #48972747

    ai slop again

  2. comment
    Comment #48972744

    that on the customer's side to redact the PII as you are the ones sending it and you'd know better than us

  3. comment
    Comment #48926719

    i get the push, most teams come to us after they've done/tired of the claude running analysis thing manually and want a pro-active thing. we're also targeting conversation first us…

  4. comment
    Comment #48924848

    its fascinating how the toyota example comes up anywhere, its so good! wdym by modelling the messages and conversations though? i lose you a bit there! for the crm approach, i do t…

  5. comment
    Comment #48924664

    a lot of our customers want a daily morning report on slack & flag things instantly rather than to wait for a week so thats why we keep it realtime

  6. comment
    Comment #48917732

    it gets hard when you need this continuously across lots of chats/calls, with metadata, changing clusters, going deeper into a user journey, etc. the LLM call is just one part of i…

  7. comment
    Comment #48917699

    i agree w you for smaller teams tbh. if you have a few hundred convos and someone can maintain scripts/prompts, hand-rolling is probably fine. it becomes less tiny when it’s 10k+ m…

  8. comment
    Comment #48916257

    im hearing this for the first time and damn! i just told this to my cofounder/cto and he said hes gonna give this a shot in the coming days. damn, i read bayesian in statistics lik…

  9. comment
    Comment #48915316

    seems ai slop

  10. comment
    Comment #48915302

    oh gotcha, yeah happy to chat more! yeah DMing

  11. comment
    Comment #48915120

    i love this comment bec we started as analytics for mcp servers haha! we then expanded to conversations bec thats where most mcp servers were being used lol. we havnt figured out y…

  12. comment
    Comment #48915096

    i like these kinds of critiques, we don’t think conversation logs or analysis on top of it is alone enough to replace observability or evals. imo they answer diff questions for dif…

  13. comment
    Comment #48915078

    yea, at our volume which we still consider small as we've been able to figure out a way with llms & embeddings, its still fine. + we onboarded a voice ai company with more than 2 h…

  14. comment
    Comment #48914124

    okay nice, also is it safe to assume you do once a fortnight releases then? like look at the last week's data then use it for product decisions the coming week? also have you updat…

  15. comment
    Comment #48913851

    oh damn, can you share what the skill is actually doing for you like on a daily basis: is it creating clusters, scoring known issues, or finding new patterns? and what data points …

  16. comment
  17. comment
    Comment #48913150

    on a satirical note: we also have an mcp server/api endpoint if you dont want the ui

  18. comment
    Comment #48913126

    we're still learning and so our the prompts haha, whats your take though

  19. comment
    Comment #48912523

    lol i wish it was just wrapping prompts but things got harder once our customers grew bigger, we had to build queues. we had to do context management for bigger conversations and b…

  20. comment
    Comment #48911144

    lol true but then you’re just building another us :D

  21. comment
    Comment #48910477

    codex is great for like a one-time/overview analysis on a handful of transcripts. we usually serve to companies where the volume is >10k messages & continuous ingestions + with cla…

  22. comment
    Comment #48910353

    haha yea, i even got the domain rageprompt dot com like a couple of days ago lol i love the name too. for profanity, did you define keywords or just let the agent figure out rage s…

  23. comment
    Comment #48909479

    I’m gonna try and give this to my cloud agents and get a benchmark now lol

  24. story
    Launch HN: Agnost AI (YC S26) – Extract user feedback from agent conversations

    Hey HN, we’re Shubham & Parth, childhood friends building Agnost AI ( https://agnost.ai ), product analytics for teams building chat and voice agents. We read production conversati…

  25. comment
    Comment #48852878

    lessgooo! context dev ftw!