Use Case: Building a Lesson Library

Prerequisites

• Teaching experience on platform
• Initial lessons created

Phase 1: Strategy and Planning

Step 1: Define Your Library Scope

Scope: What subjects/topics? What CEFR levels (A1-C2)? Standalone lessons or course series?

Purpose: Personal teaching use? Share with colleagues?

Scale: Target number of lessons? Timeline? Hours per week dedicated?

Step 2: Create a Content Map

Master Content List:

Step 3: Establish Standards

Lesson Structure: Standard structure for all lessons:

Quality Checklist:

• Learning objectives clear
• Content accurate
• Exercises tested
• No typos
• Media works
• Mobile-friendly

Phase 2: Content Creation

Step 4: Batch Create Foundation Lessons

Priority 1: Grammar Foundations (present tense, past tense, future tense, essential structures)

Priority 2: High-Frequency Vocabulary (daily activities, common objects, essential phrases)

Priority 3: Communication Skills (introductions, asking questions, expressing opinions)

Creation Workflow (per 2-week batch):

1. Use AI generation for 5 lessons
2. Review and customize each
3. Add personal touches
4. Test with sample student
5. Publish

Step 5: Use the Lesson Builder and AI Effectively

When to Use AI: Initial draft creation, exercise generation, example sentences, alternative explanations.

When to Create Manually: Unique teaching approach, complex concepts, cultural nuances, personal anecdotes.

See AI Lesson Generation and Lesson Builder & Lesson Blocks for details.

Step 6: Build Modular Components

Create Reusable Blocks:

• Vocabulary Sets: 20 words per theme, image + audio + example sentence
• Exercise Patterns: Standard question types, consistent formatting
• Introduction Patterns: Hook strategies, connection to prior learning
• Conclusion Patterns: Summary styles, exit ticket ideas

Phase 3: Organization and Management

Step 7: Organize with Course Units

Every course organizes root lessons into collapsible Units (starting with Unit 1):

• Visual Units: Group related lessons into themed chapters with a clear title and description.
• AI Unit Covers: Generate custom artwork for each unit cover using artistic presets (such as watercolor, storybook, or photography) and optional prompts.
• Nested Child Tasks: Attach up to 7 child tasks (homework or practice exercises) beneath any root lesson so practice remains organized with its core topic.
• Naming Conventions: Use consistent lesson titles:

[Language]-[Level]-[Topic]-[Number]

Examples:
SP-A1-PresentTense-001
FR-B1-TravelVocab-003
DE-A2-FamilyConversation-002

Phase 4: Quality Assurance

Step 8: Test Everything

Self-Test: Complete lesson as student, do all exercises, time the completion, note friction points.

Peer Review: Share with colleague, get feedback, make improvements.

Student Testing: Use with real students, gather feedback, observe struggles, iterate.

Step 9: Iterate and Improve

Monthly Review: Analyze usage data, review student feedback, identify popular lessons, find gaps.

Quarterly Updates: Update outdated content, add new exercises, improve based on feedback.

Courses and lessons are active immediately, and updates are protected by working copies:

Publishing automatically updates unstarted class sessions and unopened tasks. See Working copies and Lesson Document Lifecycle.

Next Steps

• AI Lesson Generation - Scale creation
• Generation History - Reuse past AI outputs