Roshi AI

Roshi AI turns short teacher prompts into interactive exercises, voiced dialogues and visuals, then shares them to Moodle, Google Classroom and other learning platforms, with benchmark-aware activity options and a claim of four or more hours saved per week.

Roshi AI is a lesson material generator built around a single chat-style prompt box. A teacher types a plain request, for example a matching exercise with images about different types of environments, and the tool returns a finished piece of learning material. Output types go beyond simple flashcards: the site lists fully voiced dialogues with adjustable voices and pronunciation, visuals such as images and brochures, and targeted activities built around specialized criteria, with Canadian Language Benchmark levels shown as an example. The stated aim is to save more than four hours of preparation work per week. The workflow is deliberately short. You describe the material you want, watch Roshi generate it, then share the result to a learning platform such as Moodle or Google Classroom. There is no separate authoring canvas to learn and no template library in the described flow: the prompt is the interface. For teachers who already know what a good exercise looks like but lose evenings assembling it, that directness is the main draw, and the generated dialogues and visuals can be reused or combined inside a single request. Practical use is strongest for language instructors and anyone who builds interactive practice rather than long-form lesson plans. The benchmark-aware activity option suggests Roshi is designed for curricula with leveled proficiency goals, not just generic quiz making. Compared with general chatbots, which will happily write a worksheet but leave you formatting and illustrating it, Roshi bundles the exercise, the imagery and the audio into one response. Compared with dedicated flashcard apps, it leans more toward generating fresh material than drilling a fixed deck, so it complements a spaced repetition tool rather than replacing one. The homepage is thin on operational detail. Class size limits, export formats, curriculum standards beyond the CLB example, and how much of the material stays editable after generation are not stated. Roshi is best evaluated as a fast first-draft engine for interactive exercises, with a teacher reviewing and adjusting the output before it reaches students.