Module 6/8 20 min

Create content and interactive activities with Claude

Step 1 / 6·Why is AI content often generic?

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Learning objectives — after this module you will:

Ask Claude for content anchored to learner context, avoiding generic output
Apply the prompt framework: Role → Context → Learner → Task → Requirements → Output → Quality Criteria
Create at least one interactive activity for your course
Evaluate AI content quality before putting it into the Blueprint

Learn ~3 min

Why is AI content often generic?

Understand the cause and how to prevent generic content.

Illustration of interactive workshop activities: discussion, task cards, role-play — Good activities come from real context — not from a template

Claude produces generic content when you give a generic request. 'Write a case study about communication' will produce an office story from somewhere — not your plant, not Vietnamese culture, not the diagnosed problem.

The antidote: put learner context into the prompt (role, environment, real situation), state constraints (length, tone, difficulty), and define quality criteria — the criteria for Claude to self-check before returning results.

What Claude creates well when given enough context

Case studies & scenarios tied to your industry and work culture
Role-play scripts with roles and context
Reflection questions & decision challenges
Matching activities, checklists, practical worksheets

Key takeaway: Generic in, generic out — learner context is a prompt's most important ingredient.

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