Spot the tells of AI-written text — with zero AI. Paste text and it underlines the clichés, overused words (delve, tapestry…), em-dash spam and 'not just X, it's Y' tics that read as ChatGPT, scores it 0–100, and shows what to cut to sound human. 100% local, rule-based.

A Rank one project we had to code in 42Berlin. Feel free to get some inspiration and allways remember, best praxis is code it yourself :)

42_lexscan is a side project related to Rank1 in 42s Corec Curiculum. It uses `42_printf`, `42_get_next_line_OoP` and `42_lexlists` - my Rank0 side project - to build a usefull file scanner

A skill for AI agents. Removes the traces of machine generation from English text.

A skill for AI agents. Turns rough or AI-like Markdown into clear, specific, publication-ready prose with cleaner structure, sharper wording, and less noise.

This is the 42Berlin version of prinf function: ft_printf. We are (re)implementing it, as a part of our Core Curiculum

Inspired by the linked list part of the 42libft project, I decided to write my own list library :)