About AI Lesson Generator
AI lesson generator with semantic validation and native DOCX/PDF exports
AI Lesson Generator is a pre-revenue ELT (English Language Teaching) application that helps teachers turn a focused lesson brief into a structured, classroom-ready lesson package. Teachers choose the learner age group, CEFR level, lesson duration, topic, grammar target, writing style, lesson format, and teacher/student speaking ratio. The application then generates dedicated Teacher and Student versions of the lesson. Unlike a basic AI text wrapper, the project includes an application-level reliability layer around generation. Generated lessons pass through structural and semantic validation, grammar/style/format contracts, deterministic repair for selected high-confidence issues, bounded provider repair/regeneration logic, and generation diagnostics. Current functionality includes: • Separate Teacher and Student lesson versions • Editable DOCX export for both versions • Browser-based PDF/print export pathway • Local Lesson Library with saved lessons and restoration after refresh • Semantic lesson validation and teacher-facing review suggestions • Grammar-target, writing-style, and lesson-format contracts • Deterministic repair for selected structural and grammar-practice issues • Provider-attempt tracking and generation diagnostics • Structured AI lesson generation through Groq • More than 600 passing automated tests across the current reliability stack The application is built with Next.js 16 and TypeScript. Recent milestone: the application has been successfully deployed and live-tested on a protected Vercel Preview using the real Groq generation pipeline. The controlled deployment verified live lesson generation, Teacher/Student DOCX exports, persistence and restoration behavior, request validation, error handling, and deployment-level provider diagnostics. Current status: functional, technically developed, and pre-revenue. The project has not established paying customers, commercial traction, or public-market validation. Persistence is currently browser-local rather than account-based/cloud-synchronized, and authentication, billing, public abuse controls, and broader production deployment remain opportunities for the buyer. This makes the project particularly suitable for a buyer who already has distribution in education, language learning, teacher productivity, tutoring, curriculum development, or EdTech and wants to start from a working and extensively hardened technical foundation rather than build the initial AI-generation and reliability architecture from scratch. Private live demo available to serious buyers on request. Sale includes the source code and existing technical/project documentation. Provider credentials and other private account credentials are not included and should be replaced with buyer-owned credentials after transfer.
Project details
Video 1: https://youtu.be/MvShe828i4c
Next step: <p>Deploy the application publicly, add authentication and cloud persistence, onboard real teachers, validate repeat usage and willingness to pay, and then add billing if commercial demand is confirmed. A buyer with an existing education or SaaS audience could also integrate the lesson-generation, validation, and export pipeline into an established product.</p>