The Mozisha Judgment Loop
Turn human judgment into verifiable experience. A six-step systematic pipeline that converts raw intuition into institutional knowledge.
Built for African AI Orchestration
Every feature designed to make human judgment the competitive advantage
Zero-Friction Capture
Log AI output rejections in one click from Claude, Gemini, Cursor, Slack, or any tool via MCP.
Constraint Library
Every rejection becomes a reusable, searchable constraint rule. Vector-powered semantic search across your entire library.
Private by Default
Complete data isolation per organisation. Row-level security, encryption, and data sovereignty.
Proof-of-Work Portfolio
Generate auditable portfolios showing your judgment growth. Credit-bearing for university modules with mentor sign-off.
Judgment Analytics
Track rejection density, constraint reuse, quality scores, and cohort heat-maps for lecturers and admins.
Pan-African Commons
Don't start from scratch. Opt-in to share your rules anonymously and get access to a continent-wide library of AI standards built by other top orchestrators.