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Discussion (41 Comments)Read Original on HackerNews
You should post the entire title.
A shorter version may be
> A Vermont pharmacy chain's AI implementation led to delays, incorrect information and privacy concerns.
I wonder why no one brought that up as a solution?
There are a lot of businesses quietly and conservatively implementing AI and seeing real results - it's just the crazy Jerry Springer blowups you hear about!
I think the best experience I've had is when companies offer an MCP server that lets me get up and going with their product very quickly. Sequenzy is one such example I tried, very AI-first and works well with Codex.
If you're talking about stuff that isn't customer facing, there's all kinds of tasks that can and have been automated.
As a simple example, I run a retro games business and we've vibecoded up various controller/cartridge testing apps that have dropped the time it takes to test a box of product by around 50%. I'm planning to spin up a few Hermes agents soon to watch the prices of things and suggest improvements to our listings (e.g. noticing we haven't soldas many copies of Super Mario 64 as we should, and checking our keywords/pricing).
Obviously puts in big work with SaaS and stuff too.
EDIT: actually, Shopify's built-in agent works really well and is directly customer facing. It's a smart model (I think either a Kimi or Qwen as a base) that seems to have been fine tuned on their product itself.
You can ask it stuff like "what products have seen a decrease in sales" or "what is the value of my next payout" and it just answers them.
Before you had to manually write DB queries for this stuff, or more realistically just ignore it.
Lots of “thought leaders” who push the solution but will be gone for the consequences. Next folks (usually those who remain) clean up the mess to no fanfare.
That's funny because a few years ago it was the reverse. people were saying how big tech was bloated, caused by managers that felt their clout was proportional to how many people were under them.
Would an AI solution have been in place in this context if testing revealed this outcome we’ve arrived at and a data driven decision was made to hire instead? Or was no testing done and we’re testing in prod? Sure looks like testing in prod or simply ignoring metrics specific to a quality customer experience. Like investigating a crash site, we have to ask what series of events and decisions have led us to this incident.
https://en.wikipedia.org/wiki/Five_whys
https://en.wikipedia.org/wiki/Root-cause_analysis
I get that a pharmacist should review the prescription. And let’s say you even want employee-customer interaction; which is great.
But dispensing X pills from one bottle to another bottle is a solved problem right?
As those two variables change, I'm sure they will replace the dispensing function for pharmacists. In fact this already does happen at a lot of pharmacies these days. Machines put the pills in bottles, then a pharmacist hands the bottle to you.
It's not like you could replace the pharmacist with a machine.
Edit: I’m dumb, the order of operations is backwards. You’re right, it’ll never be solved.
Profits are up! A smashing success!
Ironically, coding and mathematics are about simplifying the complexity of the world and reducing it to logical procedures. That's exactly where AI performs well. But in any profession that involves friction with the real world, current AI still seems to fall short.
That will of course just piss off the customers more.
The right solution which will restore customer trust is to rip out all the AI shit, call it a failed experiment, and go back to the old system. They'll never do that because then the VP who thought up this garbage won't get his bonus.
This assumes a ton of HIPAA data doesn't get sent up to some cloud and then breached. If that happens, people will start going to prison. HIPAA enforcement does not fuck around. Or at least it didn't before AI and Elon took over everything.