Why the title says MBSE for AI
The title reads the other way round from what the market is selling. That is deliberate. It is the whole argument of this book in three words.
AI for MBSE
AI serves the modeling tools you already have.
A language model is bolted onto the tools you run today. The data model, file formats and validation stay as they were, designed for human authors.
Result: faster first drafts, then schema drift, invented trace links and a painful audit.
MBSE for AI
The modeling language is redesigned so AI can be its primary author.
Plain text, strict types, a deterministic validator and a skill file for every file type. Engineers review, decide and sign.
Result: speed that still holds up in front of the auditor.
The vendors are building AI for MBSE. This book is about MBSE for AI: changing the engineering model itself so machine authors can work in it safely, and people stay accountable for what ships.
Contents
Seventeen chapters in five parts. Chapter 1 stands alone for leaders; the rest is for engineers, AI builders and auditors. Pick a chapter, or turn the page to start at the beginning.
For leaders
Foundations
- 2Model-Based Systems Engineering, from Zero36 min
- 3The Sylang Language, in One Sitting31 min
- 4Sylang Studio: Your First Project22 min
- 5System Project Management with Sylang18 min
The engineering spine
- 6Product Line Engineering: Features and Variants31 min
- 7Functions: The Executable Spine23 min
- 8Architecture: Blocks, Interfaces, Behavior21 min
- 9Requirements Written for AI to Consume23 min
- 10Tests: The Verification Side14 min
- 11Putting It Together: The Engineering Spine End-to-End15 min
Safety
- 12The ISO 26262 Safety Chain16 min
- 13FMEA: Bottom-Up Failure Analysis12 min
- 14FTA: Top-Down Fault Tree Analysis11 min
- 15Traceability: Making the Invisible Visible14 min