General
Create an AI LiveCase in Minutes Using AI Templates

General

You have a case study that works. Frameworks, data tables, discussion questions, and a teaching note. The material is solid. The challenge is turning that material into an experience in which learners have to think and act.
LiveCase's AI authoring tools are designed to reduce the production work without taking instructional control away from the educator.
For more on AI templates for education, see 7 Powerful Reasons AI Templates Eliminate Blank Page Syndrome Without Replacing Educator Expertise.
For more on experiential learning, see 7 Powerful Ways to Confront Cringe Culture in the Classroom with LiveCase.
You can begin with material you already have rather than rebuilding a case from scratch. LiveCase's authoring workflow accepts pasted text and source material including PDF, DOCX, TXT, Markdown, HTML, and CSV files, as well as a URL. You can also provide guidance about learning goals, scenarios, roles, and constraints.
The AI uses that context to help structure an interactive experience. It is a starting point, not a finished pedagogical design.
LiveCase Simulations Growing Across Classrooms and Companies covers interactive case studies in more detail.
A LiveCase does not have to be a complicated branching story.
You can build a linear Episode with a clear sequence of context, character messages, evidence, decisions, questions, feedback, and reflection. When different learner choices genuinely need different follow-up content, you can add branching with badges.
A useful authoring principle is to keep a clear main path and add branches only where the difference changes the learning journey.
LiveCase gives authors a collection of interaction types rather than forcing every experience into a chatbot format.
You can combine:
The authoring goal is not to maximize the number of features. It is to create meaningful moments where learners have to interpret information, make a choice, explain themselves, or adapt.
AI chat is a specific LiveCase interaction type. It allows a learner to have a live conversation with an AI-powered character inside the authored experience.
It should be used deliberately. LiveCase currently supports one AI chat per episode, so an author might place it at the point where questioning a stakeholder, negotiating, coaching, or exploring a situation conversationally adds value.
The rest of the episode can remain structured and authored.
Branching in LiveCase is controlled with badges.
A question response can award a badge. Later content can be configured to appear only for learners who have that badge. This can create different story paths, remediation, roles, challenge levels, or outcomes.
For example, a learner who chooses a collaborative response to a leadership dilemma could receive a badge that unlocks a later coaching-focused interaction.
This approach lets authors create meaningful variation without having to turn every decision into a completely separate storyline.
Multiple-choice questions can contribute to characteristics, allowing an experience to measure dimensions 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.
Together, these tools allow an author to design for tradeoffs and reasoning rather than relying only on right-or-wrong knowledge checks.
A useful sequence is:
The educator remains the instructional authority. AI can accelerate the first draft, but it should not be treated as the final judge of what students need to learn.
Once an experience has been tested and is ready to share, LiveCase provides publishing and distribution options. Authors can keep experiences private or use the platform's available publishing and catalogue options.
If you want a done-for-you build instead, LiveCase Studio Services can support the design and production process.
No. LiveCase's authoring environment is designed to let educators create interactive experiences without programming.
Yes. You can provide existing material as source content and use it as the foundation for an interactive experience.
Do not assume that branching is required. Branching is an authoring choice and is implemented with badges when different learner paths are needed.
No. AI chat is one interaction type among many. A LiveCase can use scripted messages, questions, multimedia, scoring, characteristics, branching, and AI chat in the same experience.
LiveCase authoring guidance generally recommends keeping an individual Episode around 10–15 minutes. Larger experiences can be organized into Episodes, Seasons, and Series.
The best starting point is simple: one learning objective, one meaningful situation, and a few moments where the learner has to decide.
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Author: Denis Duvauchelle
Elevate your AI skills for better learning 🌟 | AI Developer & Education Innovator | 50K + Executives / HigherEd success stories. He specializes in both research and implementation, and is dedicated to creating the best possible experience for educational simulations, both in terms of design and usage. With a focus on driving engagement and learning outcomes, Denis is committed to delivering innovative and impactful solutions for his clients. https://www.linkedin.com/in/desduvauchelle/
Published: 8/19/2026
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