The artificial intelligence for your classroom

What

to teach is an AI-powered classroom content platform for teachers. It helps educators create lesson plans, exercises, worksheets, reading and listening comprehension activities, and other teaching materials using AI and a guided, human-made framework.

The product appears positioned as a practical lesson preparation and content-generation tool for school teaching. It serves teachers who need faster planning, adaptable materials, and multiple activity formats, with support for using existing inputs such as texts, images, documents, articles, and YouTube videos.

Features

• AI lesson planning — Generates lesson plans quickly and presents them as curriculum-aligned materials according to the site’s description.
• Exercise and worksheet generation — Creates classroom resources such as grammar exercises, vocabulary tests, crosswords, mind maps, graph interpretation tasks, and reading comprehension worksheets.
• Content adaptation from source materials — Lets teachers build or modify materials using their own texts, images, documents, internet articles, and YouTube videos.
• Subject-specific resource library — Provides access to more than 800 pre-made exercises and worksheets that can be tailored to a lesson with one click.
• Differentiation by language level and interests — Uses AI to customize materials for different student language abilities, difficulty levels, and interests.
• H5P-compatible outputs — Supports export or use of materials in H5P-ready formats for LMS and content authoring workflows, as stated on the page.

Helpful Tips

• Check curriculum fit manually — The site says lesson plans are curriculum-aligned, but teachers should still verify standards coverage and local requirements before classroom use.
• Use source-based generation for better control — Uploading your own texts, videos, or documents will likely produce more context-relevant materials than starting from a broad prompt alone.
• Pilot differentiated materials with one class first — Since the platform supports multiple language levels and formats, a small initial rollout can help refine difficulty and engagement.
• Plan for editing time — The product is built to accelerate preparation, but AI-generated classroom materials still benefit from teacher review for accuracy, tone, and learner suitability.
• Assess export needs early — If your school relies on an LMS or interactive content workflow, confirm that H5P-ready materials match your implementation process.

OpenClaw Skills

Within the OpenClaw ecosystem, to teach could likely support skills focused on instructional design automation, classroom resource assembly, and teacher workflow orchestration. An OpenClaw agent could, for example, take a curriculum objective, gather teacher-provided source material, generate a draft lesson sequence, then organize related worksheets, comprehension tasks, and export-ready content into a repeatable planning workflow. This is a likely use case, not a confirmed native integration.

A broader OpenClaw implementation could also enable subject-specific teaching assistants for schools or training teams. For example, agents could help teachers transform a YouTube video or article into differentiated classroom tasks, create alternative versions for varying learner levels, and route outputs into school knowledge systems or LMS publishing processes. Used this way, the combination could shift teacher time away from repetitive preparation and toward adaptation, facilitation, and student support.