Education & EdTechAI Agents & Automations12 weeks
A North American EdTech company needed six to eight weeks per course cycle to build 3D models, videos, and worksheets using traditional production methods and freelance specialists. We built a multi-agent AI platform that turns a single content brief into text, images, 3D assets, and lifelike digital instructors.
3 hrs
Avg Module Build Time
78%
Course Completion Rate
148
Modules Created

“We did twenty courses this year with the same team. That number's only going up.”
Susan Porat
Head of Strategy, EdTech Media Platform
Before
Six to eight week production cycles, High contractor spend for specialized assets, Same static content for every learner
After
Under three hours per module, All production handled by AI agents in house, Content tailored to each learner type
Narrative
The Challenge
Each course module took six to eight weeks to produce because every visual, script, 3D asset, and video lecture had to be built by hand. Specialized freelancers for 3D models and digital avatars consumed close to half the annual content budget. The team could only ship a handful of courses per year while learner demand kept climbing.
What We Built
We built four AI agents that work in parallel off a single course brief. One writes lesson plans and quizzes, another generates visuals, a third builds 3D lab models, and a fourth creates digital instructor avatars synced to audio. A full course module now takes under three hours from brief to delivery.
Results
Production time went from six to eight weeks to under three hours per module. The team stopped hiring freelancers for most asset work, which freed up close to half the content budget. Course completion rates climbed noticeably once static slides were replaced with richer, more varied content. Within the first quarter, the savings covered the cost of the build, and the client added over 40 new courses to the catalog that year.
Story gallery
Technical proof
Implementation details and the stack behind the delivery.
Implementation highlights
Key engineering decisions from this project.
Stack snapshot
Tools and platforms used in the delivery.
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