AI Video Instructionals Generation
About
- it can generate convincing, usable video if you structure the problem correctly and accept a hybrid pipeline where AI animates, not reasons. - [1]
- AI can generate convincing video of: “a person picking up a real-looking 3D object and installing it correctly” if we have converted instructions into a formal action sequence through a motion schema.
- We can Define a Human Assembly Action Schema
AI-Generated Construction Video: When It Works
AI can absolutely generate realistic construction video IF:
1. Humans define the build intelligence
- schema
- steps
- constraints
- invariants
2. CAD is promoted to a digital twin
Not just geometry, but:
- poses
- assembly states
3. Human actions are decomposed into primitives
- reach
- grasp
- place
- fasten
- verify
4. AI is used as a renderer and interpolator
AI is:
- not a planner
- not a builder
- not a reasoner
Then
- Yes, AI can insert missing steps
- Yes, it can match real workshop footage
- Yes, it can generate video that looks real and is correct
But only because the system, not the AI, is intelligent.
Sublimation
If you generate CAD using schemas and compilers, can you define the schema to include digital twinning information - therefore the digital twin is created at the original schema stage?
Yes — unequivocally yes. [2]
The Core Claim (Validated) - If CAD is generated from schemas and compilers, then digital twinning information should live in the schema itself.
AI never defines the twin
AI never decides state
AI never invents steps
If CAD is generated from schemas, the schema must be digital-twin complete.
If the schema is digital-twin complete, then fully automated video instructionals can be generated from CAD—and real people and real workshop footage can be composited in—yielding induction-grade instructionals that are functionally indistinguishable from real actors for learning purposes.