Physics AI

Physics problem-solving hits a specific wall: you can read the textbook chapter, watch the lecture, and still get stuck mid-calculation with no signal about where your reasoning broke down. The tool is designed to address that gap — students submit physics problems and receive guided, step-by-step solutions. The core workflow is one-shot conversational: you put in a problem, you get an explained answer back, no autonomous planning loop or multi-step agent running in the background.

The validator confirms a credit-based freemium model, where a free tier provides a limited number of submissions per month and paid tiers extend that capacity. Credit rollover is included. This structure fits the use case squarely: a student cramming for midterms burns through credits on the problems they are most stuck on, rather than paying for a subscription they use twice a semester.

The tool’s fit is narrow but well-defined. High school and introductory college physics students preparing for exams, working through homework, or trying to understand why a specific method applies — these are the scenarios the tool is built for. The moment the requirement shifts beyond individual problem submission — say, a teacher wanting to pipe 30 student problems through an automated grading layer, or a developer building a tutoring app on top — there is no API to call and no self-hosted option to deploy. That is a structural constraint, not a configuration problem.