Built in Alignment With
Professional Coaching Standards
Magif is designed to extend coaching responsibly: protecting your methodology, supporting clients between sessions, and keeping professional judgment with the coach.
Why This Matters
Coaching depends on trust, confidentiality, and methodology. AI should support that work responsibly, not blur those boundaries.
What Magif Actually Does
Your data is never used to train anyone else’s AI
Each AI stays isolated to your content and instructions
Client conversations stay private
Data is stored in the EU
How Magif Relates to Coaching Standards
We do not position AI as a replacement for the coach. We design it as a responsible extension of your methodology, client support, and offer delivery.
Generic AI Tools
- General answers with weak methodological boundaries
- Unclear privacy expectations
- Little connection to professional coaching standards
Magif
- Built around your methodology and instructions
- Explicit privacy and ownership commitments
- Designed in alignment with professional coaching standards
Founder and Ecosystem Credibility
The trust layer behind Magif comes from research, standards work, and long-term involvement in AI coaching.
PhD in AI Coaching
Built with research leadership in AI coaching and leader development.
Research summary on HAL →ICF Standards Contribution
Magif is informed by work connected to ICF-related AI coaching standards.
Founder profile →Research and Ecosystem Work
Built within the AI coaching and professional standards ecosystem, not outside it.
Meet the founders →Explore the Right Next Step
Use this page to understand how Magif thinks about standards, privacy, and responsible AI use before launching a client-facing AI agent.