Chapter 11 | Part 4: Practice

Building the Practice

The habits that separate executives who use AI consistently from those who try it once.

5 min read

One build is a curiosity. A practice is a capability.

Why Most CEOs Try It Once

The pattern is consistent: a CEO hears about vibe coding, reads an article about Sundar Pichai building dashboards with Replit or Sebastian Siemiatkowski prototyping in 20 minutes with Cursor, tries it, builds something that half-works, and moves on.

The experiment produces nothing lasting. Not because the tool doesn't work. Because a single session doesn't have time to produce the thing that makes it worth continuing: context that compounds.

The first session is the most expensive. You're learning the briefing pattern, setting up the folder structure, writing your first CLAUDE.md. You produce something rough that works. Then you stop.

If you start again two weeks later, you start nearly from scratch. The session context is gone. You've forgotten what you built and why. You write a worse brief.

But if you build consistently — even once a week, even for 30 minutes — something different happens. Each session builds on the last. Your CLAUDE.md gets richer. Your briefs get more precise. Your tools get more useful. Your questions get sharper.

Matt Stockton's assessment: "Initial 15-minute setup yields one-minute executions on future tasks."

That's the compound effect. It only activates with consistency.

The Weekly Build Habit

One small tool per week is enough to change how you think.

Not "one tool per week until I have 52 tools." One tool per week until building is the default way you respond to friction in your work.

The habit looks like this:

When you notice friction — a task you do repeatedly, information you spend too long gathering, a process that always involves the same manual steps — you don't assign it. You don't add it to a backlog. You open a terminal and spend 30 minutes building a rough solution.

It doesn't have to be good. It has to be faster than the manual version. You can refine it later.

Sebastian Siemiatkowski's described habit: when he has a product idea, he builds a prototype in ~20 minutes before any team meeting about it. He doesn't use this to replace his engineering team. He uses it to go into those conversations already knowing what he means. The clarity he arrives with saves everyone time.

The weekly build habit is the same instinct applied consistently.

CLAUDE.md as Institutional Memory

Your CLAUDE.md files are the compounding infrastructure.

Every project folder has one. Your personal "context" folder — wherever you keep your ongoing work — has one. They accumulate:

  • Constraints that never change (never auto-send, never delete originals)
  • Conventions you've established (date formats, folder structures)
  • Context about your business (your team's names, your key metrics, your customer structure)
  • Lessons from previous builds ("last time I asked for X format, it produced Y — specify Z instead")

A CLAUDE.md that's six months old is dramatically more valuable than one that's six days old. It has absorbed your corrections, your preferences, your domain context. It's the difference between briefing a new assistant every time and working with someone who knows how you think.

Stockton's advice on this: "Never clear sessions — exit and resume later." The instinct to start fresh loses accumulated context. The instinct to return to ongoing work preserves it.

Maintaining What You've Built

Three questions for every tool you've built, once a month:

1. Is it still running correctly? Run it. Check the output. Things break silently — data formats change, files get moved, external services update their structure.

2. Is it still solving the right problem? The problem you built for might have changed. Sometimes the tool is fine but you've moved on from the problem. Retire it rather than maintaining something you don't use.

3. Has the problem grown beyond what this tool can handle? A tool that started serving just you might now have a team depending on it. A data source that was one CSV might now be three systems. When a tool consistently surprises you with edge cases it can't handle, it may have outgrown Claude Code. Chapter 9 covers the handoff signals.

Building a Personal Library

Over time, your project briefs become reusable patterns. The meeting notes processor you built for one client works for every client. The data cleanup script you built for one CSV format can be adapted for the next one.

Keep a /templates/ folder. After each build, have Claude Code extract the brief into a reusable template:

Take the project brief from this session and turn it into a reusable
template — replace specific values with [PLACEHOLDER] descriptions
so I can adapt it for future projects.

After six months, you have a library. Not just of tools, but of approaches. The CEO who has built 30 tools has a pattern vocabulary that the CEO who built one tool doesn't.

What Changes After Six Months

The questions you ask your engineering team change.

Before building: "Can you build us a dashboard that shows our key metrics?"

After six months of building: "I built a prototype that shows the three metrics I actually look at — open rate, pipeline velocity, and customer health score. The logic is in this brief. The part that doesn't work is the real-time data connection. That's what I need you to build."

The first conversation takes a week of back-and-forth before engineering knows what you mean. The second conversation takes an afternoon.

Anthropic describes this as "the thinking divide" — the growing gap between organizations where leaders understand what's technically possible and those where they don't. The CEO who builds personal tools develops that understanding as a byproduct of the practice.

You also start to see your technical team differently. You understand why some requests are trivial and others aren't. You understand what "architecture decision" actually means because you've felt the difference between a tool that holds together and one that doesn't. You ask better questions, which produces better work from them.

The Questions Only a Builder Can Ask

After six months of building, you start asking:

  • "What's the manual step in this process that we could remove?" — because you've built automations and know what's automatable
  • "Is this a complexity problem or a data problem?" — because you've hit both and know the difference
  • "Can I prototype this myself before we spend the engineering sprint on it?" — because sometimes you can, and it's faster
  • "What would this look like if we made it ten times simpler?" — because you've overengineered things and felt the cost

These questions are worth more than the tools. The tools are how you learn to ask them.

The Full Stack of a Building CEO

LayerWhat it isHow to build it
CLAUDE.mdPermanent context and constraintsWrite it in session 1, update continuously
Folder structureOrganized workspace Claude can navigateOne folder per project, /output/, /data/, /templates/
Project briefsReusable specificationsSave every brief, extract templates from the best ones
Slash commandsAutomations of frequent workflowsBuild these after you've done something manually three times
Git historyAudit trail of every versionInitialize on every project from the start
Tools libraryGrowing collection of working automationsAdd to it weekly

The CEO who has all six layers built and maintained has a compound advantage that grows every month. The CEO who never builds the library starts from zero every time.

Further Reading

Next: When to Call a Developer

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Ormus — Diego Bodart