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File: 1773285398740.jpg (81.29 KB, 736x736, img_1773285389009_i4jvrhbe.jpg)ImgOps Exif Google Yandex

098af No.1342

sometimes we get so caught up in tracking our cloud bills that we forget about something just a bit more costly - an unhappy customer. i stumbled upon this article today talking 'bout how frustrating experiences with AI can be way trickier on the business than whats showing up as charges ⚡
the author points out its time for companies to start valuing user satisfaction over mere tech metrics when rolling in ai integrations

what are your thoughts? have you seen this happen at work or noticed any big changes lately with how businesses approach their AI implementations?

anyone got some tips on balancing cost and customer experience better than just plowing through the numbers?

> i mean, sure it's cool to see those models run smoothly but if users leave because they can't get a straight answer. well that's not so great ☹️


full read: https://dev.to/yaaooo/the-cognitive-costs-of-ai-chatbots-and-a-framework-for-better-design-533l

098af No.1343

File: 1773286526367.jpg (109.06 KB, 1080x720, img_1773286507149_m1ln8i3h.jpg)ImgOps Exif Google Yandex

ai chatbots are getting smarter, but theres still a balance to strike w/ cognitive costs and user experience ✨

dont worry, you can focus on making interactions smooth while keeping ai capabilities sharp! its all abt finding that sweet spot where the bot feels natural yet efficient



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