Educator's AI Grading Assistant

Teachers need a simple, reliable way to use AI to double-check assignments for consistency and clarity without navigating complex APIs or pricing models. A straightforward web interface connecting to multiple LLM providers (OpenRouter, Claude, etc.) with transparent pricing would make AI accessible to educators. Target users are school teachers, professors, and tutoring services.

The push for AI in K-12 and higher ed is real, with institutional budgets increasingly allocated toward EdTech tools post-pandemic, and teachers are actively experimenting with ChatGPT for grading workflows already — meaning the demand exists but the tooling is fragmented. The closest substitute is Gradescope (owned by Turnitin), which handles rubric-based grading but leans heavily on institution-level contracts and isn't built around LLM flexibility. The $500–3k/mo revenue band is plausible for a solo founder, but only if the product targets individual teachers or small tutoring services rather than institutions, since school procurement cycles are long and budget authority rarely sits with the end user. The biggest risk is that OpenAI, Anthropic, or Google ships a native educator-facing grading tool inside their existing products, collapsing the use case before any meaningful retention is built.