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strulovichtoday at 1:37 AM4 repliesview on HN

I recently needed to buy some hardware for a piece of furniture.

Ran Codex, it found it for 18% less than what I found in the top Google results. It did it by finding smaller shops, applying a discount code, subscribing to a newsletter for a better code after approval, and took into account the shipping (by placing it in the cart and going to checkout) all to get me the best price.

I’m guessing without it I would have spent much more time on it and paid the original price I saw.

If you use AI agents well, they can easily save you more money than they cost, and saving money is something most people are pretty excited about.

(Disclosure: OpenAI employee)


Replies

mrheosupertoday at 1:55 AM

>to get me the best price

How do you know it's the best price ?

show 1 reply
digdugdirktoday at 1:52 AM

I mean, that's cool and all, but the numbers are really going to shift when it accidentally goes off and orders that same hardware from every vendor in your local region and the top 5 online results for comparison.

It's the same problem as all other LLM solutions (that I hope OpenAI is working on!) it's non-deterministic, and there's no way for the user (or model provider) to know what the distribution of possible outcomes is. This just gets compounded when multi-call harnesses come onto play.

pvab3today at 2:07 AM

its going to get worse though as cloudflare keeps blocking more and more

show 2 replies
iJohnDoetoday at 2:02 AM

Thanks. This is genuinely a cool usage example.

How did you run this? Web interface, desktop app, CLI?

How did you complete the final transaction?