Why You Need an AI Agent
(and why you may not want one, anyway)
A book about finding out, honestly, whether your business has a real use case for an AI agent before you spend anything building one.
Read Chapter 0 free — the discovery framework the rest of the book builds on: how to find where judgment-call friction is actually costing you money, before you pay for anything.
Fiduciary Engineering©
A standing principle behind everything built here: value is measured by the benefit it produces, not by the effort spent producing it.
- We build specifically for benefit.
- What we build needs to improve what we do — our own reason for building it.
- What we build needs to improve our service to our clients — what the client actually receives.
What's here
The Book
Chapter 0 is free. It's a short, honest exercise for deciding whether an AI agent is even the right tool for a friction point in your business — read it.
Editing, in practice
A real, ongoing case study: building and running an AI-assisted editing pipeline, including what broke and what that taught about when to trust a deterministic system versus a semantic one — read the case study.
Whitepapers
Original research and methodology writeups, published externally and linked back here — see what's in progress.