Lesson to Video · EdTech AI module
Lesson scripts into narrated, on-brand microlearning videos.
Lesson to Video turns a lesson script into a short narrated video in your customer's brand template, with captions, ready for review.
A reference build, not software you license. It ships under your product's name.
admin.northstarcampus.com / lessons / disclosure-rule / video
Northstar Workforce Academy · Lesson to Video
DemoStep 1 of 3
Illustrative demo on a fictional institution. Not client work.
The problem
Learners want short video; producing it by hand for hundreds of lessons does not scale, and every customer wants their own branding.
The worked example
Northstar Workforce Academy (fictional). The academy pastes a 300-word lesson on a new state disclosure rule.
Text-to-video pipeline with voice synthesis, template guardrails and a review step.
AI inside the workflow
Lesson to Video inside the product, not a chatbot beside it.
Switch between the product as it ships today and the same screen with the module working inside it. Ask a question, then approve what it prepares.
Northstar Learn · fictional product
Northstar Learn today: new lessons stay text-only until someone has time to produce video.
The assistant runs Lesson to Video, branded as Northstar Studio, the way it would ship under your product's name.
Illustrative demo on a fictional institution. Not client work.
What it does
What Lesson to Video does inside your product.
Best fit: Microlearning, corporate LMS, courseware and CE.
Script to storyboard
Splits a lesson into scenes with on-screen text and visuals.
Narration
Natural voice-over in a chosen voice, with captions.
Brand templates
Each customer's colors, fonts and intro/outro applied automatically.
Review before publish
Edit any scene or line and re-render.
Where it comes from: Built on a text-to-video system we delivered.
How it works
One AI feature, working inside your product, in two weeks. $10,000, fixed.
In two weeks: ten of your lessons rendered in two customer templates.
- 01
EdTech Product Review
30 minutes, free
We look at your product with you and pick the module or capability that protects your next release, what it would cost to serve, and what your customers' security review will ask.
- 02
The Sprint
$10,000, two weeks, fixed
One AI feature working inside your product: running in your staging environment on your catalog, documents or synthetic data, behind a feature flag, delivered as pull requests. You also get quality and safety evals, a cost estimate on two models, a data-flow sheet and a fixed-price quote for production.
- 03
Targeted Unlock, then Capability Waves
Quoted at the end of the Sprint
The first production capability, delivered by pull request into your repo with no standing production access. Then the next module, on the foundation the first one built.
Built for education data
Controls your customers' security reviews ask about.
Each control is a design fact about how the module is built and how we work, not a compliance claim.
- Runs on your catalog, documents or data through the APIs your product already exposes. No rebuild.
- Sprint work uses synthetic or de-identified data and ships as pull requests to your repo. No production student data.
- Every answer that matters shows its source; material actions go to a person for approval.
- Built around FERPA, COPPA, accessibility and institutional requirements.
- Built to ship under your product's name. Model and hosting are your choice.
We build around your FERPA, COPPA, accessibility, security and institutional requirements. Compliance depends on the complete product, contracts, policies and operating environment; Datics does not present software engineering alone as legal certification.
How we handle student dataWork this builds on
Projects we have delivered that use the same engine or the same engineering pattern.
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See Lesson to Video on your own product.
Bring one product, workflow or AI initiative. In 30 minutes we pick the module that fits first, what it would cost to serve and what your customers' security review will ask.
Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.
