Human-led learning
Learning is personal. Our tutoring direction puts human guidance at the center, with technology supporting the relationship.
Draft principles September 2026
Technology should support people and earn their trust. These are the principles guiding how we’re thinking about learning, AI and the products we build.
Learning is personal. Our tutoring direction puts human guidance at the center, with technology supporting the relationship.
AI should help learners practice and explore. Its role, limits and uncertainty should be clear.
What gets collected, why it is needed and who can access it should be understandable from the start.
Learning tools should work for different needs, abilities and devices. Accessibility belongs in the design from the beginning.
The relationship comes first. We start with the person trying to understand something: their questions, their confidence and their next step. Tools are useful when they make human guidance more effective.
Our ambition spans all ages and subjects. That calls for thoughtful choices about how support, privacy and accessibility fit each learning context.
We intend to listen to learners and tutors, test ideas and make room for feedback. As the product develops, these principles should become specific practices that people can understand and evaluate.
This is our proposed direction, shared for review. Final service policies and product practices will be published as the tutoring software develops.
Learning should build confidence and leave room for questions, mistakes and a different pace. Our aim is to create a supportive experience that respects the person behind each lesson.
Before a live service opens, age-appropriate participation, expectations for tutor conduct and clear ways to raise concerns need to be defined. Younger learners will require thoughtful choices about parent or guardian involvement.
Human tutors should remain central to the learning experience. AI can support preparation and practice, while people bring context, judgment and the ability to recognize when a learner needs a different approach.
We want responsibilities to be understandable: who is providing guidance, where automated support is being used and how someone can question an answer or ask for human help.
A learning product should ask for information with a clear purpose and explain how it will be used. Our approach is to consider what is necessary before adding collection, sharing or retention.
The future service will need defined access controls, retention periods and understandable choices for learners and, where appropriate, their guardians. This company website does not offer learner accounts. Its signup and contact forms collect the information described in our website privacy notice; they are not intended for learner records.
People learn in different ways, on different devices and with different support needs. Clear language, readable interfaces and keyboard access should be part of the design from the beginning.
Our direction is to test with a range of learners, provide alternatives where an experience relies on sound, imagery or motion, and improve through feedback. Supporting all ages and subjects remains a long-term ambition.
Useful tutoring helps a learner understand the reasoning, not just reach an answer. We want explanations that invite questions, make uncertainty visible and encourage learners to check their understanding.
AI-generated guidance can be incorrect or incomplete. As we develop the product, its capabilities and limitations should be clear, and claims about learning outcomes should be supported by evidence.
Tutors and educators bring practical knowledge of what helps people learn. We intend to involve that perspective as we explore lesson tools, practice support and shared learning plans.
Feedback from learners, tutors and families should help shape priorities. Our aim is to build useful support for their work and learning, with room to revise ideas as we learn more.