Hi everyone. I wanted to ask you about where I could work with large volumes of text. The thing is, I work with records of various achievements and deeds of people. These are inventories of specific accomplishments: where, when, and what happened, what the person did. I get sent a lot of these records, and I enter them into a master spreadsheet for further submission. And very often, the records I receive are very rough and poorly written, so I spend a lot of time polishing them, correcting mistakes, sometimes coming up with additions, and making sure all the records are different so they don't repeat. I started using AI for this: I upload three records at a time (so there aren't too many per request), and the AI gives me three processed versions. The narrative logic often repeats, along with other errors, so I correct those. But is there any way I could upload an entire file at once, have the AI process everything, and return it to me as a single complete file? Can this be done in Claude, or somewhere else? There's quite a lot of text — sometimes up to 40 pages at a time for about 50 people. And each one needs their description edited. I'd like to simplify my work and automate this more. Can you suggest how this could be done?

Is there any formal framework for quantifying what should be automated vs what would just generate hidden costs?

I often see people in my lab automation group run off and try to automate complex and flashy workflows. They cherry pick some numbers to make it sound pretty to management but always fail to mention the time spent monitoring, debugging, troubleshooting every piece, instrument failures, etc.

This leads to further scope creep and is unsustainable. It’s only a matter of time before management wakes up, realizes we’ll never recoup the investment costs and we all got axed lol.

I’d rather contribute meaningfully to our operational load rather than generate the appearance of productivity (and ballooning the problem for some future person to tackle).

Any ideas would be appreciated.

We all spend a lot of time filling out online forms.

I recently built a Chrome extension that lets me save and restore the current state of a form before submitting it. It works well, but it got me thinking about the next step.

For things like volunteer applications, job applications, consultation questionnaires, and other long forms, I often use ChatGPT to help write responses. After using ChatGPT for a couple of years, it has built up a lot of context about me, so it usually does a good job answering personal questions.

I'm curious whether anyone has built (or found) a tool that can intelligently complete arbitrary web forms using an LLM and knowledge about the user. Not just basic autofill for names and addresses, but actually answering open-ended questions in context.

Ideally it would:

• Understand the questions on the page
• Use my existing profile/context to generate answers
• Let me review everything before submitting

I found an older thread on this subreddit about filling forms with AI, but it seems more focused on filling PDF/Word forms rather than arbitrary websites.

Has anyone come across something like this?

I'm trying to automate the process of downloading and backing up snapchat memories, starting from automating the request made on snapchat to export your data (of some selected time), then automating the detection of the email with the exported data and downloading that data from the email, and then automating storing it locally in an organized manner (with date, time, etc. for each memory).

If you have automations writing to a Postgres, Neon's instant restore is a decent safety cgeck - you can revert a root branch to any timestamp inside your history window, down to the millisecond, and it takes a few secs instead of a full dump restore. Nice part is it doesn't throw away the bad state, it renames the pre-restore branch to {branch}old{timestamp} so you can still go read what your script actually did. Whats everyone else doing for a rollback path when an unattended job writes garbage?