Author Your Own LiveCase: How AI Templates Let Educators Design Immersive Cases

LiveCase lets educators author decision-driven learning experiences using a no-code environment and AI-assisted authoring. The goal is to reduce production work while keeping the educator in control of the learning design.

For a closer look, read Beyond the Hype: 4 Reasons Educators Can Trust LiveCase.

4 Real Struggles Educators Have and How LiveCase Solves Them is worth reading next.

Authoring Starts With the Learning Objective

A LiveCase starts with a situation worth practising, not with a chatbot prompt.

Define what learners should be able to do, then identify the decisions, conversations, evidence, and reflection that will help them practise it.

Use Your Existing Material

You can start from material you already have. LiveCase's authoring workflow supports pasted text, PDF, DOCX, TXT, Markdown, HTML, and CSV files, as well as a URL. You can also add guidance about learning goals, scenarios, roles, and constraints.

The AI can use that material to propose a starting structure. The author should review and refine it rather than treating the generated result as a finished instructional design.

Build the Experience

A LiveCase can combine character messages, context, meetings, voice memos, evidence, multimedia, questions, scoring, feedback, and AI chat.

Question types include multiple choice, popup multiple choice, checkboxes, dropdowns, text, range, ranking, matrix, and allocated balance activities. This gives authors different ways to ask learners to make decisions or demonstrate understanding.

AI Chat Is One Component

AI chat allows a learner to have a live AI-powered conversation with a character inside an episode. It can be useful for negotiation, coaching, stakeholder conversations, diagnosis, questioning, or reflection.

LiveCase currently supports one AI chat per episode. That makes it a deliberate design choice rather than something every experience needs.

Branching Uses Badges

A LiveCase does not need to branch. When different learner choices should lead to different follow-up content, branching is implemented with badges.

A response can award a badge, and later chats or content can be configured to appear for learners with that badge. This can support different storylines, remediation, roles, challenge levels, or outcomes.

A clear main path with targeted branches is often easier to author, test, and teach than a decision tree in which every choice creates another branch.

Scoring, Characteristics, and Feedback

LiveCase can score questions and use characteristics to measure dimensions beyond a single total score. Characteristics can represent things such as leadership, communication, teamwork, profit, sales, or cost.

Open-ended text questions can use AI-powered dynamic feedback against an author's ideal answer or criteria.

The author therefore defines what matters. AI helps scale parts of the experience, but the educator remains responsible for the learning objective and evaluation logic.

A Practical Authoring Process

1. Define the learning objective.
2. Gather the source material.
3. Provide the AI with context, roles, scenarios, and constraints.
4. Review the proposed structure.
5. Correct the characters, dialogue, decisions, and questions.
6. Add multimedia or AI chat where it improves the learning experience.
7. Add badges if branching is needed.
8. Configure scoring, characteristics, and feedback.
9. Test the experience as a learner.
10. Refine before assigning or publishing.

Self-Authoring or Studio Services?

Self-authoring is useful when you want direct control over the content and are comfortable refining the experience yourself.

Studio Services are useful when you want help with instructional design, production, polishing, or a more complex build.

Both approaches keep the subject-matter expert involved in the learning design.

Keep the Experience Focused

LiveCase authoring guidance generally recommends keeping an individual Episode around 10–15 minutes. Larger experiences can be organized into Episodes, Seasons, and Series.

A short, focused experience with a few meaningful decisions is often a better starting point than a giant simulation with dozens of branches.

Frequently Asked Questions

Do I need technical skills?

No. LiveCase is designed as a no-code authoring environment.

Can I adapt an existing case study?

Yes. Existing source material can be supplied to the authoring workflow and used as the foundation for an interactive experience.

What Are Live Cases? Interactive Case Studies for Business Education covers interactive case studies in more detail.

We go deeper into interactive case studies in From Case to Immersive AI Case: Designing GenAI-powered Teaching Cases with LiveCase | The Case Centre Webinar.

LiveCase Simulations Growing Across Classrooms and Companies covers interactive case studies in more detail.

Does AI replace the author?

No. AI can accelerate structure and content generation, but educators should review the result and control the learning objectives, decisions, characters, scoring, and feedback.

Does every experience need branching?

No. Linear experiences are fully valid. Branching is an optional mechanism using badges.

Does every experience need AI chat?

No. AI chat is one interaction type among many and is limited to one per episode.

Can I keep my experience private?

LiveCase provides distribution and publishing controls so authors can decide how their experiences are shared.

The point of AI-assisted authoring is not to remove the educator from the process. It is to remove unnecessary production friction so more of the educator's time can go into the decisions, scenarios, and learning moments that matter.

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