In Drehu, a language of the indigenous Kanak people of New Caledonia, the word treu ‘moon’ is pronounced [{tSe.u}]; but, even if they hear the word, the spelling pulls French speakers to a spurious pronunciation [tK{o}]. We implement a strategy to mitigate the influence of such orthographic conflicts, while retaining the benefits of written input on vocabulary learning. We present text in “phonetized” form, where words are broken down into components associated with mnemonically presented phonetic values, adapting features from the “Comment ça se prononce~?” multilingual phonetizer. We present an exploratory project where we used the ChatGPT-based Learning And Reading Assistant (C-LARA) to implement a version of the phonetizer strategy, outlining how the AI-engineered codebase and help from the AI made it easy to add the necessary extensions. We describe two proof-of-concept texts for learners produced using the platform, a Drehu alphabet book and a Drehu version of “The (North) Wind and the Sun”; both texts include native-speaker recorded audio, pronunciation respellings based on French orthography, and AI-generated illustrations.