You can build an impressive AI demo. Then it stalls at the doorstep.

The deal freezes. The client asks if it's "safe." It breaks the moment real data hits it — and you can't prove it ever worked. The gap was never your coding. It's the last mile: the distance between a demo that dazzles a room and a system a real business actually runs on. It's where almost every AI project quietly dies, and where the most valuable, most scarce engineers in the field do their work.

They're called forward-deployed engineers, and demand for them has exploded while the qualified pool has barely moved.

This is the field guide to becoming one. Written by a non-technical founder who used these exact methods to build a clinical AI system independently estimated to cost over a million dollars to rebuild, it teaches the repeatable six-stage method — Discover, Scope, Build, Validate, Go-Live, and Operate — for taking any AI idea from prototype to a production deployment that is clear, controlled, measurable, adopted, and supportable.

Through one company's story, walked end to end, you'll learn to find the one workflow worth deploying, scope a version that ships, prove it works with evidence, launch it without breaking anything, and, if you choose, get paid well for it. Includes an industry-playbook set, a deployment prompt pack, ready-to-use templates, and a 447-term field glossary.

Everyone can reach the doorstep now. Almost no one gets through the door. This book makes you the person who does.