How artificial intelligence appears in our product, what students actually do with their time on a device, and where teachers stay in control.
The cleanest way to understand LitLab’s AI is to follow the work from teacher to student and back. The child never enters an open-ended AI environment.
The assignment comes from the teacher’s scope and sequence. Students are not routed into a separate adaptive curriculum that drifts away from classroom instruction.
Teachers pull from 1,500+ reviewed decodable texts, or generate a new one at the exact phonics skill they just taught. They can print it, project it, or use it for Reader’s Theater.
Students rotate through a short practice station and read a teacher-assigned decodable aloud. The device records and analyzes the reading; the teacher reviews it and can correct the score.
LitLab’s student experience is intentionally narrow: a child reads a decodable text aloud at the phonics skill their teacher taught that week. There is almost no gamification.
Students read aloud. The core activity is oral reading practice with feedback—the same kind of practice a teacher would want to hear individually, but cannot physically do with every child every week.
Practice stays tied to instruction. Students do not enter a parallel instructional path. The teacher assigns the skill and text from their own scope and sequence.
Minutes are not the goal. No coins, streaks, points for accumulated time, or reward economy designed to maximize device use.
Most products in this category cannot tell you how much of them a child should use. We can, because we studied it: independent research on LitLab implementation is what the recommendation below comes from.
Filter by who interacts with the feature, then open any card to see the method, student interaction, and human oversight. “AI-powered” is too broad a label to be useful on its own.
The student experience has explicit product boundaries. These are architectural choices, not just usage guidelines.
No text input, prompt box, chat window, or free-form field in the student experience.
Nothing converses with a child, answers their questions, or responds conversationally to what they say.
Students see only material generated inside the phonics constraints their teacher set.
AI-generated reading scores go to the teacher, who can review and correct them before they are acted on.
LitLab gives a teacher more reviewed, curriculum-aligned material than they could write themselves, and a record of every child reading aloud—along with analyses and recommendations they can review and approve on their own terms—that they would otherwise only get by sitting down with each child one at a time.
When a student reads aloud, the recording is transmitted for analysis and stored so the teacher can listen to it. Here is the path and the guardrails around it.
Not sold. Ever. Not aggregated, not de-identified, not at all.
Not used to train third-party AI models. Provider agreements prohibit training on what LitLab sends.
Not used for advertising or marketing. Never shared outside the school for someone else’s purposes.
Stored in the United States and encrypted. Designed for FERPA, COPPA, Illinois SOPPA, and New York Education Law 2-d requirements.