Messy export in. Clean data out.
Exports from different tools never line up: three date formats, duplicate rows, names in one column. Fulminare writes and runs the cleanup code, then gives you the clean file and a list of what it changed.
I've attached a customer CSV export. Standardize all dates to YYYY-MM-DD, split full names into first and last, normalize phone numbers, remove exact duplicate rows, and flag likely duplicates with the same email. Save the cleaned file and a short log of every change.
How it does it
- 01Inspects the file to find the problems.
- 02Writes and runs cleanup code with pandas.
- 03Checks the result row counts against the original.
- 04Saves the clean CSV or .xlsx and a change log.
Large files are fine
It runs real code on its own machine, so files too big to paste into a chat are no problem.
Nothing silently dropped
Ask it to flag rather than delete anything uncertain, and it keeps those rows for you to review.
Questions
Can it merge two files?
Yes. Attach both and describe how they match up.
Can it make charts from the clean data?
Yes. Ask for charts and it adds them.
Is Fulminare free?
Yes. The free plan includes 3 live sandboxes, 200 runs / day, 100k tokens / mo, 5 overnight runs / mo — no card required.
How is this different from ChatGPT?
A chatbot tells you how to do the task. Fulminare does it: every session runs on its own cloud machine with a real shell, browser, and file system, and you get the finished files back.
Related
Stop reading answers.
Start getting work done.
Busy people save hours every week when the agent stops advising and starts doing. Point Fulminare at the job. Come back to it finished.