A local-first tool for designing clear, structured approaches to acceptable AI use in assessment. It helps educators define permitted and restricted uses, generate student guidance, document rationale, and identify risks—supporting transparent, consistent, and governance-ready academic integrity design.

A local-first tool for simulating curriculum pathways, learner progression, and workload distribution. Enables testing of sequencing, structural coherence, and programme resilience, supporting evidence-informed curriculum design through transparent, governance-aware analysis.

A local-first registry for reusable curriculum modules, supporting version tracking, dependency mapping, and governance-ready inspection across programmes.

A local-first tool for designing structured, AI-aware assessment systems aligned to learning outcomes. It enables educators to define assessment tasks, link outcomes, manage weighting, and consider AI use and authenticity, supporting transparent and governance-ready assessment design.

A local-first tool for tracking and comparing changes to curriculum, assessment, and AI integrity designs over time. It enables structured versioning, rationale capture, and audit-ready change summaries, supporting transparent, governance-aware academic design and quality assurance processes.

Empowers Curtin University community to develop AI literacy through self-paced, modular learning exp

RegDEEP™ (Regulatory Decoding & Explanation for Exam Purpose) - Is a Regulatory Decoding & Exam-Oriented Knowledge Infrastructure (Global + India), with structured regulatory decoding datasets and examiner-aligned knowledge mappings supporting BFSI exam preparation, circular interpretation, and regulatory reasoning development.

A local-first tool for generating structured, governance-ready evidence packs from curriculum, assessment, and AI integrity designs. It aggregates inputs into readable, printable summaries that support quality assurance, accreditation, and institutional review processes.