Use ChatGPT or Claude for an output
They are good choices for one explanation, a document summary, feedback on an answer, a list of practice questions or a flashcard export.
For these jobs, a specialist study wrapper may add cost without adding much value. The underlying task is still generation.
Use Anki when flashcard review is the product
Anki is a mature system for spaced review. If you want a deck and are happy to manage the cards yourself, a general model can generate the content and Anki can handle the review.
Use Figurespace when the task is learning
Figurespace becomes useful when you want to work through the material rather than receive one output from it.
- Be questioned and taught through one exact topic.
- Work through a problem instead of receiving its solution.
- Keep several lectures, notes and problem sheets inside one course.
- Create targeted practice across selected topics and formats.
- Continue across Sessions without rebuilding the context.
- Start from a prepared Guided Space.
You can know exactly what topic you need to study and still need Figurespace. The distinction is whether you want an output from the material or want to work through it.
Why Figurespace still generates better practice
Figurespace does not ignore the generation layer. It uses high-quality AI models, then adds question and activity design shaped around teaching research, the quality of questions, different forms of understanding and the role practice plays inside a course.
You can choose what a test should cover, use different formats and target selected parts of a Guide or source. The practice remains in the same Space as the material and learning.
