Documentation Index
Fetch the complete documentation index at: https://futureeducation.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
What is Future Education?
Future Education is a professional learning platform that uses AI-powered coaching to help educators develop competencies that matter in their institutional context. Rather than delivering content, the platform facilitates reflective practice — helping participants examine their own habits, surface blind spots, and take deliberate action in their real work.Who is it for?
Participants
Educators enrolled in a learning programme. They interact with the AI coach, track competency progress, and complete activities tied to their work context.
Facilitators
Coaches or educators who accompany a cohort of participants. They review progress, validate competency levels, and guide the learning journey.
Admins
Institution administrators who configure the platform, manage users, upload institutional knowledge, and customise the experience.
Core philosophy
The platform is built around one central idea: lasting professional change comes from reflection, not instruction. The AI assistant (FE) never tells participants what to do. It asks one question at a time — the kind that slows you down in a useful way and surfaces what you already know but haven’t articulated yet. Competencies are not measured by tests. They are observed through how participants describe their real work, over time, at increasing levels of complexity and consistency.Key capabilities
- AI reflective coach — Socratic dialogue grounded in the participant’s role and institution
- Competency tracking — Progress mapped across blocks, areas, and proficiency levels
- Memory system — The AI remembers patterns, commitments, preferences, and blind spots across sessions
- Institutional Guide — RAG-powered Q&A grounded strictly in uploaded institution documents
- Facilitator dashboard — Full visibility into participant progress, assessments, and conversation history
- Multi-language — Supports English, Brazilian Portuguese (pt-BR), and Italian

