AI-Native Content Production System (Roles & Workflow)

We are building a system that makes high-quality education scalable and accessible, by combining:

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AI-generated content

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Structured learning systems

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Expert validation from teachers and mentors

Core Idea (top of slide)

We combine AI scalability with human expertise to produce
high-quality, exam-aligned learning content efficiently.
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Main Structure (clean 5-stage flow with roles)

You keep your 5 steps — but now attach clear ownership

Step 1 — Curriculum Structuring

Owner: Curriculum Architect (You)

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Break syllabus into:

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Topics / Subtopics

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Skills

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Question types

Output:

Structured curriculum blueprint
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Step 2 — AI Content Creation

Owner: AI Content Architect (Melissa / Intern)

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Generate:

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Study notes

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Questions & mark schemes

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Lecture scripts

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Cognitive games

Uses:

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Prompting system

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Templates

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AI pipelines

Output:

Draft content at scale
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Step 3 — Expert Validation

Owner: TAs & Teachers (Subject Experts)

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Refine:

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Accuracy

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Depth

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Exam alignment

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Markscheme quality

Teachers = final academic authority (Initial proofread by TAs first)

Output:

Validated, exam-quality content
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Step 4 — Content Enhancement

Owner: TAs & Teachers (Subject Experts)

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Improve:

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Explanations

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Clarity

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Examples

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Teaching flow

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Create:

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Video walkthroughs

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Visual explanations

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Study music concepts

Teachers conduct the initial ideation which may include scripting, followed by TAs who will use the AI tools for the downstream tasks.

Output:

High-engagement learning content
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Step 5 — Continuous Improvement

Owner: System + Team

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Analyse:

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User performance

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Weak topics

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Engagement

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Improve:

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Content

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UX

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AI feedback

Output:

Continuously improving learning system
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