Most AI teaching tools, including three of the four here, are generators: you describe what you need, they produce it, and the transaction ends. That's genuinely useful — but every generation starts from zero. The tool doesn't know that this is the student who struggled with fractions in October, or that your 8B class is two weeks into a persuasive-writing goal.
TeachersFlow is built the other way around. Your classes, students, subjects, and teaching goals live in the app as a context library, and the AI tools act on it. Photograph a stack of handwritten tests and the test grader returns per-part feedback and a score you can edit — and saving it writes the result into that student's record. Ask the assessment generator for reflection questions and it draws on that same history, so feedback builds on what the student actually did. The lesson planner aims at the teaching goal your class is currently working toward, and finished plans and worksheets go into your teaching materials, shareable with the class.
There's also Flowee, the in-app AI assistant, which can read your groups, students, and materials and act across the app with your consent — the kind of assistant that's only possible when the app actually holds your teaching context. The whole loop is described honestly in our docs if you want to see how it fits together before trying it.
The honest flip side: this depth needs a little setup to feel. Adding your classes and students takes minutes, not hours, and the generators work instantly without any of it — but the compounding value arrives over weeks, not in the first session. A one-shot generator gives you its full value on day one. Ours grows.