Resources
The frameworks from the book, published here because frames travel free and the depth stays behind the paywall.
The Efficiency Paradox
Under hourly billing, every AI efficiency gain is a revenue cut. The faster your team works, the less you earn. This is not a bug in the technology; it is a bug in the billing model. The paradox is why compression is dangerous under the old model and lucrative under the new one, and it is the core economic argument of the book.
The Leverage Stack
The pyramid leveraged junior bodies over senior judgment. The AI-native firm replaces that with a new stack: agents handle production, senior practitioners own verification and judgment, engineers maintain the pipelines, and a named professional signs every deliverable. The leverage shifts from people to intelligence, and the economics shift with it.
The Pricing Menu
Five pricing models replace the billable hour: fixed-price products, outcome-based fees, subscription access, IP licensing, and performance participation. Each has collar mechanics that protect margins: edges, prerequisites, change valves, and caps. The menu matches the model to the work, not the other way around.
The Exposure Matrix
Diagnose which of your revenue blocks are exposed and how fast, by scoring each block on two axes: compressibility (how much the machine absorbs) and buyer pressure (how hard and how soon the buyer forces repricing). Four quadrants, four verdicts: defend the keep, convert first from the mine, convert now in the fire, exit the grind. The Exposure Diagnostic in the starter kit runs the full scoring.
The Operators Creed
I sell outcomes. I price the problem, not the clock. My prices are not opinions, and my discounts are never naked. I present objects, not capabilities, and my offers have edges. Agents do the production. People do the judgment. A name signs everything. No untraced number ships. I verify like the signature is the product, because it is. Every engagement ends with a deposit. The library is the firm. I rent what commoditizes, own what compounds, and test everything I rent. My evals are my independence. I advance on evidence, not calendar, and a planned dip is not a crisis. I pay for calibration, never for volume, and I share ownership early, because I cannot afford to make people wait. I grow judgment on purpose. Nobody will grow it for me. I only win if the client wins. And when the models improve again, and they will, I rebuild again, because this firm is not a monument. It is a practice.