The Philosophy Behind Writing WITH AI (Not Having AI Write FOR You)

I used to spend 8 hours writing each newsletter.

Now it takes 2 hours.

But here's what most people get wrong about AI writing.

It's not about automation.

It's about collaboration.

The Editor-in-Chief Mindset

When you write with AI, you're not a writer anymore. You're an editor-in-chief.

Think about how magazines work:

  • The editor decides what stories to run

  • Writers generate multiple angles

  • The editor picks the best ones

  • Writers create drafts

  • The editor refines them

With AI, you become the editor. AI becomes your writing team.

Your job isn't to type words. It's to make decisions:

  • What's the core message?

  • Which headline works best?

  • What value am I delivering?

  • Does this sound like me?

Why Claude Code Is a Paradigm Shift

Here's why I use Claude Code instead of ChatGPT or other tools:

Claude Code is an AI agent, not just a chatbot.

With ChatGPT, you prompt once and hope for the best. The AI has to create everything in one shot. The result? Generic, unsatisfying content that sounds like AI.

Claude Code works differently:

  • It creates a plan and sticks to it

  • Each phase becomes a separate task

  • It thinks longer but iterates multiple times

  • It refines based on your feedback

  • The output sounds human, not robotic

Think of it like this: ChatGPT is a sprint. Claude Code is a marathon with strategic rest stops.

The Secret: Context Engineering

This is the most important part that nobody talks about.

AI doesn't know what you know. You have to teach it.

Before I write anything, I load my research folder with:

  • Articles about my topic

  • Statistics from credible sources

  • Examples of similar content that worked

  • My previous newsletters for voice matching

  • Notes from podcasts or videos

  • Competitor newsletters for inspiration

This is called "context engineering" - giving AI the raw materials to build from.

Without context, AI writes generic fluff. With context, AI writes like an expert.

I spend 30 minutes gathering context manually (automating this soon). That phase makes the difference between content that gets ignored and content that gets shared.

The 10-Phase Process (Why It Works)

Our newsletter system has 10 phases.

That might seem like a lot, but here's why it's genius:

Phases 1-4: Strategy

  • Seed: Clarify your idea (with context)

  • Goals: Define success

  • Headlines: Generate 20 options

  • Curate: Pick the winner

Phases 5-7: Structure

  • Hook: Grab attention

  • Structure: Map your content

  • Magical: Choose delivery methods

Phases 8-10: Execution

  • Outline: Write the draft (using your research)

  • Iterate: Refine and polish

  • Final: Production ready

Notice something? Only 30% is actual writing. The rest is thinking, researching, and deciding.

That's the secret. Great writing isn't about beautiful sentences. It's about clear thinking and solid research.

Btw. I'm teaching this exact system plus all my other AI writing frameworks to a small group.

$5/month if you grab one of the last 2 spots at founding price.

Nothing fancy - just me sharing what actually works. You get the tools, I answer your questions, we all write better.

Why Most People Fail with AI Writing

They expect AI to be magic. They type "write me a newsletter about productivity" and expect brilliance.

That's like asking someone who's never met you to write your autobiography.

Instead, you need to:

  1. Feed it real research and sources

  2. Show it examples of your voice

  3. Guide it through a structured process

  4. Make editorial decisions at each step

  5. Iterate, don't accept the first draft

AI handles the heavy lifting. You handle the context and thinking.

The Real Philosophy: Process > Prompts

Everyone obsesses over the perfect prompt. But prompts don't matter if you don't have:

  • A clear process

  • Quality sources

  • Examples to follow

  • Iterative refinement

That's why Claude Code wins. It follows a process, not just a prompt.

Each phase builds on the previous:

  • Research informs the seed

  • The seed shapes the goals

  • Goals determine headlines

  • Headlines guide structure

  • Structure drives the draft

It's systematic. Predictable. Reliable.

What This Means for You

You're not learning to write prompts. You're learning to:

  1. Gather quality context

  2. Think like an editor

  3. Guide an AI agent through a process

  4. Make strategic decisions

  5. Refine iteratively

The Context Engineering Workflow

Here's my exact process:

Before Writing:

  1. Search for 5-10 recent articles on my topic

  2. Copy them into my research folder

  3. Add any relevant statistics or studies

  4. Include 2-3 of my best previous newsletters

  5. Save competitor examples that performed well

Above is the analysis done for my latest newsletter post.

During Writing:

  1. Claude Code reads everything in the research folder

  2. It understands the topic deeply

  3. It matches my voice from examples

  4. It cites real sources and data

  5. It creates something original but grounded

The Result: Content that's informed, accurate, and sounds like me—not like generic AI.

That’s it for today, if you’d like to learn more about writing with AI and get the exact prompts that I use, make sure to join our community!

Luke

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