Field Notes
Practical writing for product leaders and the boutique advisory firms that rely on them – diagnostic patterns, strategy decisions, document intelligence, and how to operate a sharper consulting practice.

The Knowledge Recreation Tax: How to Calculate Your Number
Knowledge recreation — rebuilding context you already built — is a cost most advisors never calculate. Here's the arithmetic to find your number.

Why Solo Advisors Max Out at 5–6 Concurrent Engagements
The solo advisor capacity ceiling sits at 5–6 engagements. Here's the working memory physics behind that number — and the two infrastructure unlocks that move it.

Consulting Scope Creep Is a Documentation Problem
52% of consulting projects experience scope creep – the average cost overrun is 27%. The issue isn't your statement of work. It's that your engagement intelligence isn't live.

How Stanton Ridge Raised Its Proposal Win Rate from 31% to 44%
A boutique strategy firm cut proposal time from 16 hours to 5 and raised win rate from 31% to 44%. The variable wasn't the AI tool — it was what they fed it.

Knowledge Debt: The AI Prerequisite Your Practice Hasn't Solved Yet
Your AI tools aren't underperforming. Your knowledge infrastructure isn't ready for them. Here's how to diagnose knowledge debt in your advisory practice.

Where AI Processing Ends and Advisory Judgment Begins
How one advisory intelligence operation structures the 70/30 AI-human divide – and what boutique advisors need to know about where judgment must stay.

AI Is Rewriting Search. Here's How Your Website Writes Back.
AI Mode crossed 1 billion users at Google I/O. Organic clicks are falling. WebMCP is how websites talk directly to AI – and Fieldway built it on fieldway.org.

Consultant AI Guides All Cover the Same Five Things. Here's the Sixth.
Every 2026 consultant AI guide covers five areas. They're all right. None covers a sixth area – and it may be the most expensive gap in your advisory practice.

The Consulting Firm AI Margin Gap Has Nothing to Do With Tools
The 2026 SPI benchmark shows a 17.9% vs. 6.0% EBITDA gap. The difference isn't which AI tools consulting firms use — it's what's organized underneath them.