I almost instinctively downvoted you

Well, the address one was an example. Smart paste is useful for more than just addresses - Think non-standard data formats where a customer provided janky data and it needs wrangling. Happens often enough and with unique enough data that an LLM is going to be better than a bespoke algo.

The email one though? We absolutely have dedicated forms, but that doesn’t stop end users from sending emails to our customer anyway - The email ingestion via LLM is so our customer can just have their front desk folks forward the email in and have it make a best guess to save some time. When the customer is a huge shop that handles thousands of incoming jobs per day, the small value adds here and there add up to quite the savings for them (and thus, value we offer).

Given we run the LLMs on low power machines in-house … Yeah they’re worth it.

One of my favorite examples is “smart paste”. Got separate address information fields? (City, state, zip etc) Have the user copy the full address, clock “Smart paste”, feed the clipboard to an LLM with a prompt to transform it into the data your form needs. Absolutely game-changing imho.

Or data ingestion from email - many of my customers get emails from their customers that have instructions in them that someone at the company has to convert into form fields in the app. Instead, we provide an email address (some-company-inbound@ myapp.domain) and we feed the incoming emails into an LLM, ask it to extract any details it can (number of copies, post process, page numbers, etc) and have that auto fill into fields for the customer to review before approving the incoming details.

So many incredibly powerful use-cases and folks are doing wasteful and pointless things with them.

The solution for me is that I run Nextcloud on a Kubernetes cluster and pin a container version. Then every few months I update that version in my deployment yaml to the latest one I want to run, and run kubectl apply -f nextcloud.yml and it just does its thing. Never given me any real trouble.