A 105-second story about how AI-assisted instructional design is woven through the Georgia State University M.S. Instructional Design & Technology curriculum, including how we teach responsible, ethical, and self-reported AI use in every phase, so graduates are competitive from their first day on the job.
1:45Narrated explainer
How it was made
This is a sandbox project. I use pieces like this to test new tools for content, design, and development for my classes and for program marketing.
Script & build
Claude for scripting, storyboarding, and orchestrating the build
HyperFrames: code-driven (HTML/CSS/GSAP) motion graphics and kinetic typography
Generative media
Higgsfield AI for the synthetic voiceover
Seedance 2.5 (via Higgsfield) for text-to-video B-roll
Sound & finish
Python (NumPy/SciPy) for the synthesized music bed and sound effects
FFmpeg for mixing, muxing, and compression
The process
Define the story, audience, and proof points.
Script scene by scene and generate the voiceover.
Build each scene as animated HTML, timed to the narration.
Layer generative B-roll behind the graphics.
Compose music and sound effects, ducked under the voice.
Render, review, iterate with a human in the loop.
In short: programmatic, AI-assisted motion design. A rapid-prototyping pipeline from idea to polished, brand-consistent video in hours, and easy to version because every scene is code.