What problem does it solve? Designing structured educational content from scratch is time-consuming, and instructors often lack consistent templates for syllabi, lesson plans, rubrics, and reading lists aligned with learning objectives. ## Core Features & Use Cases - Syllabus and Curriculum Design: Generate complete syllabi with learning objectives based on Bloom's Taxonomy, grading schemes, schedules, and policies, plus curriculum maps using backward design. - Lesson and Workshop Planning: Build timed lesson plans with engagement techniques (think-pair-share, jigsaw, case studies) and full-day workshop agendas with materials checklists. - Assessment and Reading Lists: Create rubrics with performance-level descriptors and annotated reading lists with load guidelines per audience level. - Use Case: A professor designing a new graduate seminar can generate a full syllabus with measurable objectives, a 15-week schedule, weekly reading lists, and a project rubric in one session. ## Quick Start Ask the AI to create a syllabus for a 12-week introductory data science course with learning objectives, weekly topics, and a grading breakdown.