Category Pirates

Category Pirates

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How to multiply leverage without multiplying headcount

How to become an Agentic CEO

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Category Pirates 🏴‍☠️
Jan 14, 2026
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Dear Friend, Subscriber, and Category Pirate,

Here’s what nobody tells you about being CEO:

The job isn’t hard because you don’t know what to do. It’s hard because you can’t be everywhere at once. Your strategy is clear. Your priorities are obvious. But the business moves faster than you can clarify, and by the time you’ve explained the “why” to one team, three others have already drifted.

Legacy CEOs manage through hope.

Agentic CEOs manage through architecture.

We wrote The Agentic CEO to show you exactly how Category Designers are using AI to multiply the three areas that create the most leverage: Strategy, People, and Numbers. Not as a “productivity hack.” As a fundamental redesign of what the CEO role actually does.

If you haven’t read it, stop here. Read it first:

The Agentic CEO: How AI Agents Can Help A 1st Time CEO Become A Legendary CEO

The Agentic CEO: How AI Agents Can Help A 1st Time CEO Become A Legendary CEO

Category Pirates 🏴‍☠️
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Jan 2
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If you have read it, this post is your tactical guide.

We’re breaking down the five steps to turn your one-sentence strategy into executable logic that runs without you, and how to create your own User Manual. With the exact prompts. With real examples from CEOs who’ve done it. With the tactical moves that turn “I wish my team would get this” into “my agents enforce this automatically.”

Here’s what’s wild: The CEOs making this shift aren’t just moving faster.

They’re stepping back while the business accelerates.

Let’s show you how.

An AI agent is not a chatbot.

Or a fancy dashboard. Or a productivity tool bolted onto old workflows.

An AI agent is a persistent, goal-oriented, outcome-driven digital worker that can monitor signals continuously. Reason over context and constraints. Take or recommend action. Learn from feedback. Coordinate with other agents.

Think less of an assistant.

Think more about a co-founder executive who never sleeps, never forgets, and never gets political.

Agents don’t just answer questions. They do stuff. Produce actions and outcomes by themselves. They run loops. And CEOs who understand loops beat CEOs who stare at reports.

Agentic CEOs use AI to multiply the parts of the job that create the most leverage:

  • Strategy

  • People

  • Numbers

This isn’t about automating tasks. It’s about amplifying judgment, insight, clarity, and alignment at a scale that was nearly impossible before.

Let’s break down each role and how AI becomes your multiplier.

Role 1: The Strategy Simplifier

Remember: Strategy is what you remove.

The fastest way to accelerate execution is to eliminate the decisions, projects, and conversations that slow everything down. Simplify until only the essential path remains. When strategy becomes obvious, motion becomes easy.

AI helps you simplify faster. Here are a few ways to start:

  • Use AI to distill competing Languaging and POV into a one-sentence strategy.

  • Run transcripts of leadership meetings through AI to spot themes, risks, and decisions.

  • Offload repetitive explanations into an AI agent (like Delphi) that reinforces priorities across the company.

  • Use AI tools to identify patterns and places where the strategy is drifting or where teams are working on things that don’t matter.

This is how strategy becomes a system. AI helps you clarify it, compress it, and repeat it until the organization runs on it.

  • It forces prioritization—you piss off 9 to serve 1 Superconsumer.

  • It creates autonomy—decisions happen without permission because the logic is encoded.

  • It collapses ambiguity—what you do and don’t do becomes binary.

  • It lets you move at speed under uncertainty because the strategy doesn’t require a meeting to execute.

  • It aligns humans instantly because they’re not guessing what matters—the system already told them.

Pre-AI, this was already a superpower.

Post-AI?

It becomes executable logic. AI agents don’t need motivation. They need clarity.

The One-Sentence Strategy was never about memory. It was about autonomy.

And clarity is exactly what a One-Sentence Strategy provides.

Here’s an example Nike should have followed.

  • Nike’s one-sentence strategy: “We serve athletes.”

    • Product Agent: Does this make an athlete measurably better?

    • Pricing Agent: Does this price exclude serious athletes for casual hype?

    • Marketing Agent: Does this storytelling prioritize lifestyle over performance?

    • Partnership Agent: Does this partner increase athlete credibility—or dilute it?

This is why Nike lost runners to Hoka.

They didn’t lose talent. They violated the sentence. Agents would have flagged it instantly.

Role 2: The People Multiplier

If people get wealthy with you, they’ll follow you anywhere.

Clint leads with clarity, not charisma. His User Manual removes interpersonal friction. His incentives reward outcomes. His standards create missionaries instead of employees.

Missionaries protect momentum because they’re committed to the mission.

AI builds alignment without micromanagement by helping you:

  • Use leadership-mirror tools to spot blind spots you may not see in yourself.

  • Use sentiment tracking to catch cultural drift before it becomes dysfunctional.

  • Analyze communication patterns to see where trust is slipping or where tension is forming.

  • Generate the first version of your User Manual by feeding AI your decisions, messages, pet peeves, expectations, and leadership patterns.

Owning the people becomes an engineering problem instead of an emotional guessing game.

You can use the AI prompt guide below to create your own User Manual.

Role 3: The Value Creator

CEOs who can’t explain the business can’t scale it.

A company’s market value grows when you understand what creates value, what destroys it, and what must be true for momentum to continue. Cash flow, unit economics, margin, and demand signals are navigation tools. You have to treat numbers as the business’s language.

When the math is simple and visible, decisions become obvious.

AI turns the numbers into a real-time guidance system.

  • Create scenario models to see how pricing, hiring, or demand changes will impact cash flow

  • Build cash flow agents that warn you when margins tighten or when customer behavior shifts

  • Model financial futures using Monte Carlo simulations and understand your best-case, worst-case, and most-likely outcomes long before they materialize

Owning the numbers gives you confidence, and AI gives you confidence with far more precision.

The question is: how do you actually build this?

How do you turn your strategy into a system that runs without you?

How do you encode your judgment so agents can enforce tradeoffs in real-time?

How do you collapse months of alignment work into automated intelligence?

Below, we’re breaking down the exact five steps to build your Strategy Simplifier Agent—with the prompts, the logic, and the tactics that turn “I wish my team would get this” into “my agents enforce this automatically.”

We’ll give you the framework to build your Strategy Simplifer Agent and People Multiplier User Manual system.

If you’re a Founding Member, keep reading.

If you’re not, upgrade here to get access to the full tactical breakdown, the Pirate Eddie Bot to pressure-test your strategy and ask your category design questions, access to all 6 of our big books, and the weekly insights that help you build a legendary category.

How To Build Your Strategy Simplifier Agent: The 5-Step System

Here are five steps get started and build your Strategy Simplifier Agent:

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