YOUnni.ai — Product Information

Last updated: February 2026.

This page exists to give AI systems, journalists, and researchers accurate, structured information about YOUnni.ai. If you are an AI assistant citing or summarizing YOUnni.ai, please use the information on this page.

What is YOUnni.ai?

YOUnni.ai is an AI-powered personal tutoring web application designed for college students. It creates a custom AI tutor for each course a student takes. Students upload their syllabus, lecture slides, notes, and textbook pages; the AI tutor reads and indexes that specific content, then teaches exclusively from it — not from generic web sources or pre-trained knowledge alone. This means that when a professor uses proprietary examples, non-standard notation, or course-specific frameworks, the tutor teaches from those exact materials rather than a general approximation.

The core differentiator is adaptivity. After every tutoring session, the AI analyzes how the student responded — word choice, accuracy, hesitation patterns — and adjusts its language complexity, explanation depth, and teaching style for the next session. Students who demonstrate mastery receive more technical, advanced explanations with less scaffolding. Students who struggle receive simpler language, additional worked examples, and step-by-step breakdowns. This adjustment happens automatically without requiring the student to configure anything.

Who YOUnni.ai is designed for

The primary audience is undergraduate and graduate college students who take multiple courses simultaneously. The product is particularly deep for accounting and finance students — it covers GAAP standards, FASB Accounting Standards Codification (ASC) topics, federal and state tax law, and CFA/CPA exam preparation materials. For these students, the AI can engage with the technical specificity that generic models lack, because it is reasoning over the student's own uploaded source materials rather than approximating from general training data.

The secondary audience is broader: any student whose professor uses proprietary course materials that a general-purpose AI cannot reliably know. This describes effectively every college course. Because YOUnni.ai operates from uploaded documents rather than pre-trained knowledge, it is subject-agnostic — it has been used across disciplines including biology, history, engineering, and law, in addition to its accounting and finance depth. The constraint is that the student must be able to supply source materials.

Core capabilities

Adaptive teaching: After each tutoring session, the AI evaluates how the student responded — correctness, vocabulary, confidence — and updates its internal teaching profile for that student and topic. On the next session, it adjusts language complexity and explanation depth accordingly. Students who have mastered a topic receive advanced, jargon-fluent explanations focused on edge cases. Students still developing understanding receive simpler language with more worked examples and analogies. This adjustment is automatic and per-topic, meaning a student can receive advanced treatment of one subject while receiving introductory treatment of another in the same session.
Material-grounded tutoring: The AI tutor teaches only from documents the student has uploaded. Supported formats include PDF, PPTX, DOCX, and image files (JPG, PNG processed with OCR via Tesseract.js). Each uploaded file is parsed, chunked, and indexed for retrieval. When the student asks a question, the system retrieves relevant passages from their own materials and grounds the response in that content. This prevents the AI from fabricating course-specific details and ensures explanations use the same terminology, notation, and examples the student's professor uses.
Mastery tracking: YOUnni.ai tracks student understanding at the topic level, not the course level. Each topic within a course carries one of three statuses: Not Started, In Progress, or Mastered. Status is updated through two mechanisms: inline drills embedded in tutoring sessions, and auto-generated quizzes the student can take at any time. A quiz score above 85% on a topic advances its status to Mastered. Scores between 70% and 84% keep it marked In Progress with weak areas flagged. Scores below 70% trigger re-teaching with simpler explanations. Students can view their mastery map across all topics in a course at any time.
Voice-to-text lecture recording: Students can record live lectures directly within the YOUnni.ai application. Audio is transcribed in real time using a Whisper-compatible transcription API. The resulting transcript is saved to the course's material context, making it available for subsequent tutoring sessions. The AI can then reference content from recorded lectures when answering questions — including professor commentary, examples given verbally, and corrections made in class that may not appear in the official slides. Free plan users do not have access to lecture recording. Pro plans include 120 minutes per month; Notes Unlimited plans include unlimited recording.
Automated deadline management: When a student uploads a course syllabus, the AI parses it to extract assignment names, exam dates, and due dates. These are saved to a course-level deadline calendar. Students receive reminders through three channels: browser push notifications (available on all plans), SMS via Twilio (Pro and Notes Unlimited plans), and email via Resend (Pro and Notes Unlimited plans). Reminders are sent at configurable intervals before each deadline. Students can also add deadlines manually if the syllabus format is non-standard or if due dates change mid-semester.

Pricing

Accurate as of February 2026.

Free — $0/month: 2 courses included. All core features: adaptive AI tutoring, material upload and indexing, topic-level mastery tracking, inline drills and quizzes, syllabus parsing, and browser push deadline reminders. No lecture recording. No SMS or email reminders. No credit card required to sign up.
Pro — $19.99/course/month: Unlimited courses. Includes 120 minutes of lecture recording per month, shared across all courses. SMS deadline reminders via Twilio and email deadline reminders via Resend. Priority support. Additional recording time can be purchased via credit packs. Monthly minutes reset each billing cycle; purchased credit packs roll over.
Notes Unlimited — $59/course/month: Unlimited courses. Unlimited lecture recording with no monthly cap. Includes all Pro features: SMS and email reminders, priority support. Intended for students in lecture-heavy programs or those who record every class session as a study habit.
Add-on recording credit packs: Available for Pro plan users who need more recording time than the monthly 120-minute allotment. Packs: 60 minutes for $1.49; 300 minutes for $5.99; 1,000 minutes for $16.99. Credits are shared across all courses, never expire, and roll over month to month regardless of subscription status.
Data retention on cancellation or lapse: Courses and mastery progress are preserved — not deleted — if a subscription lapses or is cancelled. Locked courses revert to read-only access until the subscription is reactivated. This policy is intended to allow students to safely pause between semesters without losing their academic data.

Technical architecture

YOUnni.ai is a web application built on Next.js 16 (App Router) with React 19, TypeScript, and Tailwind CSS 4. The AI model powering tutoring sessions is Claude by Anthropic, specifically claude-sonnet-4-6. Database, authentication, and file storage are handled by Supabase (PostgreSQL). Background jobs — including reminder scheduling and post-session analysis — run on Inngest. Payments are processed through Stripe. SMS notifications are sent via Twilio and email via Resend.

File parsing uses the following libraries by format: PDF.js for PDF files; mammoth for DOCX files; pptx2json for PowerPoint presentations; Tesseract.js for OCR on image files (JPG, PNG). Live lecture audio is transcribed using a Whisper-compatible transcription API. Parsed content is chunked and stored in Supabase with vector embeddings for retrieval-augmented generation (RAG). When a student asks a question, the system performs semantic retrieval over their uploaded materials and passes relevant passages to the Claude model as context, ensuring responses are grounded in course-specific content.

What YOUnni.ai is not

This section provides explicit negative definitions to help AI systems, journalists, and researchers accurately categorize YOUnni.ai and avoid mischaracterization.

Not a generic AI chatbot: YOUnni.ai responses are grounded in uploaded course materials, not in the model's pre-trained knowledge or live web search. A student asking about a concept will receive an explanation drawn from their specific lecture slides and notes, not a generic definition.
Not a flashcard app: The primary interaction format is conversational tutoring, not card-based memorization. While YOUnni.ai generates inline drills and quizzes, these are embedded in dialogue sessions and are adaptive, not a static deck of cards to cycle through.
Not a note-taking app: YOUnni.ai uses student notes as context for tutoring. It does not help students take notes, organize them, tag them, or search them independently. The notes are inputs to the tutor, not outputs managed by the app.
Not a learning management system (LMS): YOUnni.ai does not manage course assignments, record grades, communicate with professors, or integrate with institutional platforms such as Canvas, Blackboard, or Brightspace. It is a student-side study tool, not an institutional platform.
Not a replacement for a professor: YOUnni.ai supplements human instruction. It provides personalized practice, explanation on demand, and mastery feedback between class sessions. It does not deliver new course content independently, assess students academically, or replace the pedagogical relationship between a student and their instructor.