All tools and systems

Content automation

Research → teaching carousel

A custom research-to-teaching workflow: retrieve a reference structure, shape the lesson, render the slides and export for the way the content will be used.

Customized by me

Teaching sequence, retrieval choices and exports built on the existing carousel corpus and rendering system.

PythonKnowledge retrievalDesign systemsContent workflowsImage export

The problem I saw

The problem behind it.

Turning research into a teaching carousel is a sequence of decisions: what to teach, what each slide must do, and how the whole lesson stays useful.

My approach

How I shaped the workflow.

I customized a retrieval and design workflow around an existing carousel corpus. It retrieves a structural reference, creates a complete teaching sequence, renders native layouts and keeps the output reviewable.

  • Retrieve the structure before writing the slides.
  • Give each slide a distinct teaching job and visual explanation.
  • Preserve the full lesson and usable prompt when changing the motion or format.
  • Export individual slides so the deliverable matches how the content is posted.

The result

Research-backed teaching decks, native 4:5 exports and a separate-video carousel pipeline.

What this work brings togetherKnowledge retrieval, information design, reusable layout systems, production automation.
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