lies, damn lies, statistics, and then Excel deciding cell data types.
> Get answers about any cell in seconds: Navigate complex models instantly. Ask Claude about specific formulas, entire worksheets, or calculation flows across tabs. Every explanation includes cell-level citations so you can verify the logic.
this might just be an excellent tool for refactoring Excel sheets into something more robust and maintainable. And making a bunch of suits redundant.
Here's my use case: I have a set of responses from a survey and want to perform sentiment analysis on them, classify them, etc. Ideally, I'd like to feed them one at a time to a local LLM with a prompt like: "Classify this survey response as positive, negative, or off-topic...etc".
If I dump the whole spreadsheet into ChatGPT, I found that because of the context window, it can get "lazy"; while with a local LLM, I could just literally prompt it one row at a time to accomplish my goal, even if it takes a little longer in terms of GPU and wall-clock time.
However, I can't find anything that works off the shelf like this. It seems like a prime use case for local models.
Disclosure: My company builds ingestion pipelines for large multi-tab Excel files, PDFs, and CSVs.
https://www.anthropic.com/news/advancing-claude-for-financia...
item, date, price
abc, 01/01/2023, $30
cde, 02/01/2023, $40
... 100k rows ...
subtotal. $1000
def, 03/01,2023, $20
"Hey Claude, what's the total from this file? > grep for headers > "Ah, I see column 3 is the price value" > SUM(C2:C) -> $2020 > "Great! I found your total!"
If you can find me an example of tech that can solve this at scale on large, diverse Excel formats, then I'll concede, but I haven't found something actually trustworthy for important data sets
Only a matter of time before someone does it though.
AFAIK there is no 'git for Excel to diff and undo', especially not built-in (aka 'for free' both cost-wise and add-ons/macros not allowed security-wise).
My limited experience has been that it is difficult to keep LLMs from changing random things besides what they're asked to change, which could cause big problems if unattackable in Excel.
Unlike code where it's all on display, with all these formulas are hidden in each cell, you won't see the problem unless click on the cell so you'll have a hard time finding the cause.
Little stuff like splitting text more intelligently or following the formatting seen elsewhere would be very satisfying.
I would love to learn more about their challenges as I have been working on an Excel AI add-in for quite some time and have followed Ask Rosie from almost their start.
That they now gone through the whole cycle worries me I‘m too slow as a solo building on the side in these fast paced times.
not sure if it binary like that but as startups we will probably collect the scraps leftover indeed instead
I've worked at MULTIPLE million dollar firms whose entire business relies on 10 Excel workbooks that were created 30 years ago by a person who is either passed on or retired.
Give users who aren't intimately knowledgeable with their source material ai, and you're asking for trouble.
The undo function has a history limit.
The real issue is: at what point are we going to stop chasing efficiency and profit at the sake of humanity?
Claude and OpenAI are built on stretched truths, stolen creativity and what-if statements.
Its obviously not the same experience for everyone. ( If you are one of those energized while working in a chat window, you might be in a minority - given what we see from the ongoing massacre of brains in education. )
Paraphrasing something I read here "people don't use ChatGPT to do learn more, they use it to study less".
Maybe some folk would be better off.