Where the universe of the official NAPE documentation resides. This includes How-To's, Tech Docs, and much more.
A demonstrative workbench for institutional governance engineering. Enables mechanical governance and traceability from policy intent to technical production.
The source code repository for the core nape software
A Management-Methodology Approach to Quality Assurance in AI-Assisted Software Development
Governance-as-code engine for AI platforms. Define policies in YAML, map to compliance standards (SOC 2, EU AI Act, ISO 27001, PCI-DSS, GDPR, HIPAA, NIST), evaluate decisions, run dry-runs to estimate blast radius, produce audit-ready ledgers. Third piece of the AI Platform Engineering trilogy.
The central repo which contains every build, deploy, and release workflow for all NAPE software.
Ethical AI governance framework for multi-model alignment, integrity, and enterprise oversight.
Governance-first tool for assessing organisational readiness and maturity in governing AI-supported systems
Local-first governance tool for recording, analysing, and learning from AI-related incidents, failures, near misses, and hallucinations through structured review, root-cause analysis, mitigation tracking, and governance-ready reporting.
Local-first governance tool for assessing the long-term sustainability, maintainability, resilience, and organisational impact of AI-supported systems, workflows, curricula, and research projects.
AI Capability Studio : offline-first, static structured workflow tool for generating AI Workflow Records using the AI Capability Framework. No AI calls. No accounts. Governance-ready exports.
Local-first governance tool for structured ethical review of AI-supported systems, workflows, and outputs using configurable frameworks, transparent scoring, evidence capture, and governance-ready reporting.
Governance-first design tool for creating, analysing, and documenting AI-supported workflows with explicit human oversight and accountability.
Governance-first tool for analysing risk, fragility, and oversight gaps in AI-supported workflows
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