Real computation
Using the product rule: d/dx[x·eˣ] = eˣ + x·eˣ
Checked with real symbolic computation (SymPy) — not predicted text.
The first Agentic Learning Environment
Verified, not vibes
Newton solves problems with real tools — symbolic math, chemistry, statistics, your own code — instead of an LLM guessing. It remembers your whole semester.
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Using the product rule: d/dx[x·eˣ] = eˣ + x·eˣ
Checked with real symbolic computation (SymPy) — not predicted text.
Close — you got all the pieces in the right places, just check the sign.
Your turn
Where would that sign come from if you moved the integral across the equals sign yourself?
Capabilities
Symbolic math, linear algebra, chemistry, and statistics — solved exactly, not predicted.
∫ 2x dx = x² + CRuns your code against real test cases and checks proof structure step by step.
FSRS-scheduled flashcards, practice exams, and a weak-areas engine that closes the loop.
A semester-spanning library with cross-document synthesis and inline annotation.
Holds back the answer until you ask — enforced server-side, not politely requested of the model.
Spoken conversation practice and production-mode flashcards for language courses.
Newton Pro
Pro unlocks the tools that cost money to run per use — a compiled research paper, a synthesized web report, speech synthesis — plus more headroom on the generation tools everyone already gets.
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Pro
Full research paper writing
AI-generated interactive artifacts
Deep Research
Composite study sessions
Voice, including Conversation Practice
Access to frontier AI models
Higher generation limits
Free right now for students with a verified NYIT (nyit.edu) email — a paid Pro plan open to every student is on the Roadmap, not available yet.
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