Data needed
Learner profiles, subject materials, learning objectives, progress records, parent or teacher feedback.
Example build
CanDoLearn
Built CanDoLearn, an AI-assisted learning platform that creates personalised learning materials, weekly plans and learning records for learners who need more age-respectful support.
Status
Product buildA full product experience demonstrating AI-assisted content generation, learner profiles and structured workflows.
Project overview
CanDoLearn proves WorkFlint can build a full product experience, not just internal admin tools. It demonstrates AI-assisted content generation, learner profiles, structured workflows, PDF output and product thinking.
The problem
Learners who need more age-respectful support often struggle with traditional one-size-fits-all learning materials. Creating personalised content, weekly plans and evidence records is time-consuming and hard to scale.
What was built
An AI-assisted learning platform that creates personalised learning materials adapted to each learner's reading and maths level, interests and needs. Features include learner profiles, weekly planning, AI-generated worksheets, printable PDF outputs, evidence portfolios and a parent or teacher-facing dashboard.
Who it helps
Learners who need adapted learning support, parents and home educators managing personalised learning, and teachers or tutors who need to generate differentiated materials efficiently.
Learner profile screen
Demo or redacted data only
First version scope
- Learner profile with level adaptation
- AI-assisted weekly planner
- Personalised worksheet generation
- PDF export and printing
- Evidence record portfolio
- Parent or teacher dashboard
Risks and controls
Safeguarding and privacy considerations for learner data, content quality review, appropriate AI oversight for material generation.
Suggested WorkFlint package
Build It With WorkFlint Sprint followed by Prototype to Production Support for review, testing and deployment.
Interested in AI-assisted learning tools?
WorkFlint can help you scope and build practical AI workflows with clear user journeys, useful outputs and human review points.