Scaling Educational Content With Human-Led AI
How Blended Teaching and Between Pixels Built an AI-Powered Production System That Cut Editing Time by More Than Two-Thirds
The Ask
The Results
To address the production bottlenecks, we developed a custom AI-driven rough-cut tool that successfully reduced editing time from approximately 30 hours to fewer than 10 hours per chapter, a reduction of more than two-thirds. This allowed Blended Teaching to move beyond exploring AI potential and begin using a functional production system that measurably improves studio capacity. Additionally, we are building a cloud-based graphics engine with full AI integration; this creates a connected workflow that streamlines chapter production while maintaining high consistency across the content library.
The Work
Between Pixels partnered with Blended Teaching to develop two connected, AI-powered production solutions.
First, we created a custom rough-cut tool that automates much of the initial video assembly process. The tool organizes footage, builds the chapter structure, and produces a working edit that gives the human editor a significantly more advanced starting point.
At the same time, we began developing a cloud-based graphic generation engine with full AI integration. The system analyzes lecture transcripts, identifies where visuals can improve comprehension, and generates graphics based on the instructional and editorial decisions established by experienced human editors.
Together, these tools automate repetitive production tasks while keeping people responsible for instructional strategy, accuracy, creative direction, brand alignment, and final polish.
The Future of Scalable Educational Content
The long-term value of the system extends beyond Blended Teaching’s professionally produced chapters. The cloud-based graphics engine is being designed to eventually connect directly with the user-generated content side of the Blended Teaching platform.
An educator will be able to upload a simple screen recording of themselves teaching from a basic slide deck — or even provide voice-only narration. The platform can then use approved, AI-generated footage of the lecturer to create a complete on-camera presentation, enhance the instructional content, and add custom graphics that support the lesson.
The result is not AI replacing the people who understand the material. It is a scalable system that preserves the educator’s voice and expertise while giving them the tools to reach more students, create more content, and produce it in significantly less time.
Is the work made by AI or by people?
It depends on the project, but usually both. In some cases, our team creates and distributes all of the original content. In other cases, we design the system, templates, and kit of parts for AI to produce at scale. In some cases, we need to use AI to create visuals that don’t exist.
Will AI content still look on-brand?
How much faster/cheaper is this really?
It varies by project, but large projects can see a reduction in production costs of 10x or more.
Do you own/keep our data private?
We use enterprise models under no-training policies; your brand data isn’t used to train shared models.