The Protocols
Operator Manuals for the Agentic Economy
The Thesis
“General AI is a commodity. Vertical Integration is the only moat.”
SHALLOW(NO MOAT)
Vertical AI Defensibility
“The 3-step formula: Sell Output × Own Action × Capture Feedback = Unassailable Position.”
"Why can't OpenAI just kill you?"
"Because OpenAI sells intelligence (the raw material).
We sell the Outcome (the finished product)."
Sell the Output
You capture the value of the labor, not just the tool.
Own the Action
You embed deeply into workflows to verify the result.
Capture the Feedback
You build the only dataset that links Input directly to Verified Outcome.
PROPRIETARY DATA LOOP
We are the only ones collecting data on which story actually converts a customer in this specific vertical. OpenAI has the general capability; we have the specific truth of what works.
INCENTIVE ALIGNMENT
We price on results. This forces us to build a 'System of Action' that integrates deeply into the customer's revenue stack. A generic model can't do that.
VERTICAL CONTEXT
We aren't building a 'better writer.' We are building a better fundraiser/recruiter/salesperson . The moat is the millions of micro-experiments that teach our model the nuance of this specific market.
The Airlock
“The User vs. Operator Model. Never let the raw LLM touch the client.”
Nothing changes. Same input, same quality output.
Direct margin increase as agentic share grows.
The 7-Day Arbitrage
“Validation before Code. The step-by-step checklist to verify unit economics.”
Identify the Gap
Find a service with high manual cost and willing buyers
Manual Validation
Sell the outcome manually to 3 real customers
Unit Economics
Calculate true cost: time + tools + edge cases
Document the Airlock
Define input requirements and output guarantees
Build the MVP
Minimal automation, maximum outcome delivery
Stress Test
Run 10 real jobs, document all failure modes
Scale Decision
Go/No-Go based on validated metrics
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Complete protocols, case studies, and implementation guides available to network members.
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