alt Hacker News> A personal AI agent can help with everyday tasks like booking reservations, monitoring prices, managing reminders, creating documents, generating images, and researching topics.
Always the same thing. I wish product designers would have some modicum of imagination for how agents can actually help people.
Literally none of these examples are improved by this kind of personal AI agent; on the contrary, it means letting your agency be dictated by companies that do not have your interests in mind.
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Out of curiosity, do you have other ideas or things you want it to do? It just seems like they always converge on the same set of executive tasks because they’re a nail that is exceptionally well suited to this particular hammer.
My AI agent decided with the Ticketmaster agent that since I couldn't get the tickets to the show I really wanted, I'd instead attend a show they haven't sold very many tickets for as it's a bit of a drive. I forgot to charge my AI agent's loyalty this week and it fell below the threshold of trustworthiness so it struck this awful deal. It's stipulated that I attend or I risk even further matrix degradation of my agent in the agentweb. I even spent all last week providing my AI agent with RealTestimonials about various consumer products for the streams but apparently they want you to manually charge it every week and you have to have a full package of tokens, you can't partially charge your agent even just to break a threshold on its behavior matrix.
fwiw, it’s likely not product designers making these decisions. More likely, designers and researchers planned to explore use cases people would actually use and benefit from, but were told to focus on the ones leadership deemed important
They tend to devolve to the lowest common denominator of what the decision-making chain can understand and resonate with on zero context.
If 1,000 people need to approve the User Journey, you get flights, reminders and docs... because that is what 1,000 big tech employees mutually share as easily understandable common problems within their own corporate zeitgeist.
Disclosure: I work for Meta, and run into this phenomenon daily, but I do not work on Muse.