Misspelled names, phone numbers and emails in a dozen formats, cities typed five different ways — I'll correct and standardize them, protect anything sensitive, and show you exactly what I changed. I never delete your data; every change is reversible, and the judgment calls are left to you.
CSV or Excel. I'll scan it for the usual mess — duplicates, blanks, mismatched formats, stray spellings — and anything that looks like personal data.
Take the cleaned file and the change log. Both are yours to keep.
One 4-billion-param model plans every clean — nothing bigger, anywhere.
No third-party AI APIs — a local-runnable GGUF does the work (on-device when self-hosted).
Custom QLoRA fine-tune, trained on execution-verified data and published on the Hub.
Hand-built gr.Server interface — zero default Gradio chrome.
Served through llama.cpp as a Q8_0 GGUF.
Every run's agent traces are published as an open dataset on the Hub.
A full build report — the failures documented next to the wins.
A hands-off cleaner for the non-coder with a messy Monday export.