OnMicro.AI

OnMicro.AI is a no-code builder for education that produces narrow, purpose-built AI apps rather than open-ended chat. An instructor designs a structured workflow, controls what the app accepts and returns, publishes it as a link that students can open without accounts or licenses, and then sees aggregate use, cost, satisfaction, and accuracy for the app itself.

What you can do with it

Apps can be embedded in Canvas, Moodle, Blackboard, or any LTI-compatible platform, where grades and access can sync; the published examples include a patient-communication simulation, a case-study feedback app that scores understanding before a student moves on, and a short language-practice challenge. Usage analytics are the reason the project gives for preferring apps to custom chatbots: a designed flow can be observed and revised, while an open chat cannot. Models from the major providers can be selected, and the platform tracks what each app costs to run.

Who it is for

It suits instructors and learning designers who want bounded, repeatable interactions, and administrators who need a supported deployment path. It is a hosted commercial service this repository documents: the source is open, and the platform is also sold as a subscription.

Notes and caveats

The free tier is limited to 10,000 AI credits and three apps; unlimited apps and advanced models start at the Pro tier, and LTI integration, single sign-on, and advanced analytics are listed at the Enterprise tier, so the features an institution most needs are the ones that carry a price. The repository is licensed AGPL-3.0 according to its LICENSE file, which matters for anyone intending to self-host or modify it, and its README still says LGPL from before that change, so read the license file rather than the README. Institutions should also confirm their own data-processing terms before routing student work through a hosted third-party service.

Connected Concepts

Teacher AI Competency, Learning Design, Open Source, Intelligent Tutoring, Scaffolding