The principle
Standardize the container, not the thinking
A good learning system must make expert thinking easy to publish without flattening it into generic courseware. The content can vary widely; the page structure, accessibility, colour roles, navigation and catalogue metadata should not.
Compare
Where flexibility belongs
The argument, evidence, examples, sequence, comparison, decision points and practical takeaway.
Typography, spacing, responsive behaviour, accessibility, navigation, brand assets and catalogue placement.
The workflow
One approval separates drafting from publishing
The conversational agent first prepares a complete draft and asks the publishing service to validate it. Nothing public changes. The service returns a concise preview, warnings and a short-lived confirmation token tied to that exact draft.
- Research and refine the topic in Claude or ChatGPT until the learning is useful.
- Ask the connected vCubed Publisher to prepare the conversation as a learning article.
- Review the title, summary, section outline, theme, audience and warnings shown in chat.
- Confirm once. The service publishes the exact approved draft through the maintained release pipeline.
Decision point
Does this content need the governed article path or a custom interactive artifact?
Quality floor
Know when the learning is ready
Working checklist
A publishable artifact should pass all five checks
- The title describes a concrete question, capability or decision.
- The introduction makes the value clear without relying on the original conversation.
- Every section advances the learner rather than repeating background.
- Claims that can change or affect important decisions have credible sources.
- The learner leaves with an action, distinction or decision they can apply.
Knowledge check
What is the safest way to keep fast publishing consistently on-brand?
A shared renderer preserves brand, accessibility and responsive behaviour while authors and AI tools remain free to shape the actual learning.