Introduction

CloudPedagogy Applications support professionals, educators, and institutions to engage with artificial intelligence thoughtfully, responsibly, and defensibly.

All applications are grounded in the CloudPedagogy AI Capability Framework and are designed to operate alongside professional judgement, institutional context, and local responsibility.

They do not automate decisions.
They do not enforce compliance.
They make reasoning, structure, and risk visible.

This page brings together:

  • Structured capability environments
  • Governance-aware infrastructure
  • Reflective diagnostic instruments


Together, these support applied, accountable AI-enabled work.


AI Capability Studio

Structured workflow environment

AI Capability Studio is an open-source, offline-first workflow environment designed to operationalise the AI Capability Framework at the point of real decision-making.

It enables individuals and teams to:

  • Apply the six capability domains through a guided workflow
  • Explicitly document human judgement and AI involvement
  • Record assumptions, trade-offs, and risks
  • Generate export-ready AI Workflow Records
  • Maintain local, privacy-preserving workflow logs


The Studio makes judgement inspectable and reviewable — without automating it.

It is particularly suited to:

  • Committee deliberation
  • Curriculum and research design review
  • Governance documentation
  • Ethical stress-testing
  • Professional reflective practice


🔗 Open-source repository
https://github.com/cloudpedagogy/cloudpedagogy-ai-capability-studio


CloudPedagogy Course Engine

Open infrastructure for reproducible course production

The CloudPedagogy Course Engine is governance-focused infrastructure for transparent and auditable course production.

It is not an AI assistant or automation platform.
It is structured infrastructure for durable educational design.

The Course Engine enables institutions to:

  • Compile courses from a single, explicit source of truth
  • Generate consistent web and document outputs
  • Maintain coherence across versions and formats
  • Record design intent and declared AI boundaries
  • Produce inspectable artefacts for QA and governance
  • Optionally declare framework alignment without enforcing compliance


It records structure and intent — leaving judgement and approval with humans and institutions.

🔍 Learn more
https://www.cloudpedagogy.com/pages/cloudpedagogy-course-engine

🔗 Open-source repository
https://github.com/cloudpedagogy/cloudpedagogy-course-engine


Diagnostic Applications

Reflective instruments for sense-making and discussion

These browser-based applications support individuals and teams to explore patterns, gaps, and tensions across the six domains of the AI Capability Framework.

They are intentionally:

  • Diagnostic rather than directive
  • Descriptive rather than evaluative
  • Safe for governance, discussion, and structured reflection


All applications run locally in the browser.
No data is stored or transmitted.

🔗 Open-source repository
https://github.com/cloudpedagogy/cloudpedagogy-ai-capability-studio


Core Diagnostic Applications

AI Capability Self-Assessment
Reflective baseline across the six domains of the framework.
[Launch tool] · [View source]

AI Capability Programme Mapping
Visualises where AI capability appears across programmes and curricula.
[Launch tool] · [View source]

AI Capability Gaps & Risk Diagnostic
Surfaces potential blind spots and areas of exposure.
[Launch tool] · [View source]

AI Capability Scenario Stress-Test
Explores resilience under plausible future change scenarios.
[Launch tool] · [View source]

AI Capability Dashboard (Aggregate View)
Supports system-level pattern awareness over time.
[Launch tool] · [View source]

These applications support reflection and discussion.
They do not generate recommendations or decisions.


Disclaimer

CloudPedagogy Applications are provided for reflective, educational, and exploratory purposes.

They are not decision systems, compliance instruments, or governance authorities.

Responsibility for interpretation, adaptation, and any subsequent decisions remains with users and their institutions.