Author · Engineer · Architect · Educator
Dr. DaryoushTehranchi
Complex Problems. Clearer Thinking.
A More Human Future.
Books and ideas at the intersection of systems, technology, leadership, AI, human judgment and accountability.
About the Author
Engineer. Architect.
Thinker. Author.
Dr. Daryoush Tehranchi is an engineer, architect, educator and author whose work focuses on complex systems, systems and software architecture, digital engineering, artificial intelligence, technical leadership, and the decisions that remain fundamentally human.
His books cover systems engineering, digital thread and digital engineering, system-of-systems architecture, AI architecture, data architecture, human judgment, trust, authority and accountability. They translate complex technical and organizational challenges into practical frameworks for engineers, architects, technical leaders and decision-makers.
His first novel, What You Asked Me to Forget, is a work of fiction: in 2056, a witness takes the stand to give testimony about a system that did what it was asked to do.
Books by Daryoush Tehranchi
Systems, architecture, AI
and human judgment.
What You Asked Me to Forget
His first novel. In 2056, Thole takes the stand, and a hearing has nine days to decide what a machine's obedience means.
The Chief Architect's Playbook
Technical leadership for defense and aerospace: earn credibility, decide under uncertainty, and influence without authority.
The Digital Thread Playbook
A practitioner's guide to MBSE on defense and space programs: build the digital thread, earn the digital twin, measure what works.
The System-of-Systems Playbook
Architecting across programs nobody controls: govern the boundaries, respect independence, and verify continuously at the edges.
The AI Architect's Playbook
An AI agent is a new kind of constituent system. Bound its autonomy, govern its boundaries, and prove the governance works.
The Data Architect's Playbook
For any data your program depends on: know where the original is, what has happened to it since, and how you would prove it.
The Last Human Decision
Judgment, trust, and purpose — the human capacities that stay valuable no matter how good the machines get.
Nobody Delegated This
When AI moves from advice to action, who actually decides — and who answers for it? A practical guide to the authority gap.
Tested, Not Trusted
A personal discipline for finding out which parts of your experience still hold up, now that AI makes knowledge cheap.
Too Good, Too Soon
AI erased the routine work that trained experts. A plan to rebuild the ladder — exposure, practice, proof, responsibility.
The Robot Was Right
Obeyed exactly, failed anyway. A one-page test for any rule a machine follows.
New: watch the full Digital Thread masterclass on YouTube →
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