Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Agent Economy: The Executive Playbook for Building AI Agents, AI Teams, and AI-Native Companies

The Agent Economy: The Executive Playbook for Building AI Agents, AI Teams, and AI-Native Companies

Zhao, Casper

Paperback

Series: Tech Stack

Business GeneralManagement

Currently unavailable to order

ISBN13: 9798185457825
Publisher: Independently Published
Pages: 298
Weight: 0.80
Height: 0.74 Width: 6.00 Depth: 9.00
Language: English

You are not competing against AI.
You are competing against the person who knows how to build an organization out of it.

Right now, in a warehouse office or a spare bedroom somewhere, a solo operator is running a consulting practice, an investment research shop, or an e-commerce brand with six clients and a revenue run rate of eight hundred thousand dollars. Their headcount is one. Not one team. One person, plus a dozen AI agents that work continuously, remember everything, and never ask for a raise.

You do not know they exist. Your clients do not know they exist. But in 18 months, one of your largest accounts will quietly shift its spend to a firm that cannot be found on LinkedIn and cannot be evaluated using the metrics you have used for thirty years. The client will not say they are switching because of AI. They will say they found a more responsive partner. They will say the quality was comparable at a price that made the decision obvious.

That is how knowledge work gets repriced. Not with headlines. Not with layoff announcements. One transaction at a time, until your margin is gone and you cannot explain why.

Most businesses are using AI wrong. They are treating it as a faster search engine, a better autocomplete, a productivity tool for the same job they were already doing.

A small group of operators is becoming something else entirely: organization designers. The difference is not the model they bought or the platform they subscribed to. The difference is the architecture. The memory systems. The oversight protocols. The coordination layers that turn a collection of prompts into an actual operating company that runs while they sleep.

This book is the manual for that architecture. It is not a guide to prompting. It is not a review of current AI tools that will be obsolete by next quarter. It is a complete framework for designing, building, and running an AI-native organization: one composed of specialized agents with persistent memory, coordinated workflows, calibrated autonomy, and human oversight at exactly the points where oversight matters.

Inside, you will learn:

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