... since I was young and definitely had to take the leap of faith in uni last year.I m very committed to the product my team and I built. Of course we have been through some hardships but hopefully the tippingpoint is soon. I m happy to talk about the product and our vision ...

... with it. So I m starting to think agent count is the wrong measure. What matters is how much verified work gets completed without creating another pile of work for the human overseeing it. Has anyone found where that tippingpoint is? Comment from Konstantin Tikhaev(@konstantin_tikhaev): it backfired on us when an agent put a confident number into a report that nobody measured. other agents took it as ground truth and we spent a day tracing what ... ... just a placholder ) more agents fail the moment they start verifying each other's hallucinations instead of real data Comment from Rabnoor Singh(@rabnoor_s): i ran four in parallel today and the

... doubt that AI makes our lives easier and creates opportunities in many ways. But don t you notice the fact that at a certain point it becomes unsustainable and disadvantageous?... Where do you think the tipping

... support volume grows faster than the team can scale. When repetitive questions start taking up the majority of agent time, response times slip, costs rise, and hiring becomes a constant reaction instead of a plan. That s usually the tippingpoint. AI becomes a necessity when customers expect instant answers across channels, when agents spend more time copy-pasting than solving real problems, and when managers lose visibility because tickets pile up faster than they can be triaged. At that ...

... switching, more magic . The downside: fragile agents, trust issues, and invisible mistakes that are harder to catch. At Attrove, I've been thinking a lot about when invisible helpers make sense (catching critical issues in the background, detecting trends) versus when users really want clarity and control. Curious what others here think: are invisible apps and agents the next frontier of software, or a UX fantasy waiting to backfire? And maybe the sharper version of that: would you trust ... ... need, clear when you look, and always working for your best interest, not just the next viral demo, they're the best Comment from Jordan Ellis(@vibefarm): It feels like part of a larger disappearing act. At some point

... point I think the vast majority of people would want a full UBI, which is much higher than what most countries offer today, if they have a UBI at all. But what I'm wondering is: what is the tipping

... selection early on. These foundational choices become harder to change later but significantly impact retrieval quality. Have you explored any specific benchmarks to measure performance across these approaches for your particular domain? Comment from Denis Sigal(@denis_sigal): Great point  @peter_frank3  ! Interested in @robin_marillia 's answer as well, as my cofounder and I are facing a similar challenge (customer-facing AI). Comment from Geoffroy Danest(@geoffroy_danest): Thanks Robin, the real win was how our devs ... ... what happens when UX and tech decisions go hand in hand! Comment from Peter Frank(@peter_frank3): Interesting! Thanks for sharing @robin_marillia Have you considered how you'll handle the transition phase when your knowledge base reaches the tipping