Coassemble’s AI Assistant
Here are some helpful answers to guide you when using our AI assistant to transform a document or generate a course.
What file types can I transform into a course?
When transforming a document into a course, the file type you start with can make a big difference to your experience—and your outcome.
Coassemble supports document transformation for the following file types:
PDF
Word documents (.doc, .docx)
PowerPoint (.ppt, .pptx)
Text files (.txt)
Rich Text Format (.rtf)
It's important to consider how your file is structured, as this can assist in the transformation process. Documents like Word or PowerPoint files often contain headings, bullet points, and visual formatting that help signal hierarchy and flow. These cues allow the AI to better interpret and translate your content into logical screens and learning moments.
If you’re working from a PDF, we recommend using well-formatted, text-based files (as opposed to scanned images) to ensure the AI can extract and understand the content accurately. We don't want the text to be within an image.
Think of your original file as the first draft of your course. A well-structured, clear document gives you a head start in creating a learning experience that’s both meaningful and engaging. From there, Coassemble does the heavy lifting—transforming your content into an interactive, learner-friendly course.
What tone should I select?
Choosing the right tone is a learning design decision; the tone of your course sets the emotional temperature for the entire learning experience. It signals to your audience how they should engage with the material and creates a more personalized experience.
Below are some of the reasons you might choose each tone to assist you in making the best selection:
Informal & Conversational
Best for personal development, creative topics, or general interest courses. This tone creates psychological safety—it feels approachable and human. It’s great for reducing friction in learning, especially when your goal is to make complex ideas easier to grasp. If you are sharing lighter content in your workplace, you may choose this option.
Academic & Research-Based
This tone builds authority. Use it when your learners expect depth, rigour, or evidence-backed insight—such as in scientific, technical, or compliance-heavy topics. It supports cognitive load by structuring information in a clear, precise way. You might choose this tone when delivering cybersecurity training to IT staff, where accuracy, detail, and clear procedures are essential.
Motivational & Persuasive
Perfect for self-improvement or leadership courses. This tone energises the learner and creates emotional momentum. It works especially well when your course’s goal is to inspire action or build confidence. You might choose this tone when creating a professional development course on stepping into management roles—helping new leaders believe in their potential and feel equipped to take the next step.
Good practice tip: Match your tone to both your content and your learners. Think about their goals, their context, and what will help them stay engaged.
What is a screen?
In Coassemble, a screen is a single unit of learning. Think of it as a page in a book—but interactive, purposeful, and designed with learning science in mind. When transforming a document into a course, your original paragraphs and bullet points are transformed into screens. Each screen should ideally contain one clear concept, idea or theme, making it easier for your learners to follow, digest, and apply what they’ve learned.
Each screen gives you an opportunity to present information in a way that optimizes engagement and retention.
For example:
Text & Image: Great for storytelling and explanation.
Accordion or Process: Helps with layered information or step-by-step breakdowns.
Flashcards & Quizzes: Activate retrieval practice and reinforce memory.
From a learning design perspective, chunking content into screens aligns with Cognitive Load Theory—reducing overwhelm by presenting bite-sized content that’s easier to absorb.