Open prototype

Whitepaper Factory

From course page to compliant whitepaper in minutes.

An AI-assisted workflow for marketing and design teams within Certify360—turning course content into structured, on-brand whitepapers while keeping quality and compliance in check.

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The Challenge

    Marketing creates whitepapers manually, from scratch, for every label.
    Designers start from zero each time—no shared structure.
    Inconsistent structure across labels increases review time and errors.
    Risk of compliance issues when content is rewritten by hand.
    High workload for repetitive formats that could be templated.
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The AI Workflow

Click any step to see more detail.

Course PageExtractGenerateQuality GuardianTemplate Export
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System Design

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Deterministic Extraction

Python

Structured pull of facts and sections from source—no generative guesswork.

Generative Writing

LLM

Narrative generation from extracted data, constrained by templates.

Quality Guardian

AI + rules

Compliance checks and consistency rules before export.

Human-in-the-loop

Review

Design and marketing review before finalisation.

Template-driven layout

Export

Structured output for design tools and version control.

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Measurable Impact

70% faster draft creation

First draft from course page to structured whitepaper in minutes instead of days.

Reduced compliance risk

Guardian and extraction pipeline keep claims aligned with source content.

Consistent brand structure

Templates ensure every label follows the same section and style rules.

Designers focus on refinement

Less time on formatting and structure; more on polish and layout.

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Next Steps & Limitations

Without robust fact extraction, LLMs can hallucinate or drift from source material. The pipeline is designed so that generation is grounded in deterministically extracted content first.

Human review remains essential—especially for compliance and brand voice. The tool supports designers and marketers; it does not replace their judgment.

Future work may include RAG over internal knowledge bases, multi-label scaling, and template versioning so structure evolves in a controlled way.

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Explore the Interactive Prototype

Open Prototype