My Workflow for Rapid Content Creation With Integrity

This is The AI Advent Series, a five-week run of practical reflections on how AI is actually being used day to day. Each piece looks at one theme that keeps coming up in my work, in our bootcamps, and in real conversations with people trying to make sense of this technology.

Introduction

One of the questions I get asked most often is how I create content so quickly. Whether it’s blog posts, LinkedIn commentary, or long-form breakdowns, people assume there’s some secret formula or hidden tool. The truth is far simpler, though far more powerful.

AI hasn’t replaced my creative process. It has augmented it. And that augmentation is what allows me to consistently produce high-quality content at speed without sacrificing accuracy, nuance, or integrity.

During my interview this week, I explained my workflow out loud for the first time, and it made me realise just how much it has evolved over the last couple of years. The steps look the same as before, but the way those steps are executed is entirely different.

Auto-generated description: A cartoon dinosaur wearing a lab coat and glasses points at a whimsical machine labeled Super Snazzy Content Creator.

So here is the workflow I use every day, and why it works so well.

Step 1: Spotting the Spark

Everything still starts with curiosity.

If I see an interesting article, a new product announcement, an industry shift, a policy update, or even just a trend that makes me raise an eyebrow, that becomes the seed.

I bookmark it, drop it into my notes, or simply hold it in my head until I get a few minutes free.

AI doesn’t choose what I talk about — I do.

Step 2: Gathering Multiple Sources (The Anti-Bias Step)

This is where AI steps in for the first time.

I drop the link into my AI tool of choice and ask it to:

  • Pull in related sources
  • Surface alternative perspectives
  • Identify contradictions between reports
  • Cross-check the claims being made

This step is crucial because a single article is rarely enough to understand a topic. It might be biased, incomplete, speculative, or simply misinformed.

AI helps me reach a balanced understanding far faster than manual searching ever could.

This is also where the librarian analogy I use in training comes from. Google gives you the books. AI reads them for you.

Step 3: AI Interviews Me (Extracting the Human Insight)

This is the part people always find interesting.

Instead of asking AI to write anything yet, I tell it to interview me:

  • What’s my take on this news?
  • Why does it matter?
  • Who will it impact?
  • What’s the real story behind the headline?
  • What is my audience supposed to take from this?

By asking me questions, AI forces me to articulate what I actually think rather than what I assume people want to hear. It brings clarity, and it ensures the finished content still reflects my voice, not the machine’s.

This is also why I never worry about AI undermining my authenticity. It can’t create my opinion — it can only help me surface it.

Step 4: Drafting With My Own Trained Style Model

Once I’ve answered the questions, I send those insights to a separate AI model I’ve trained specifically in my tone, rhythm, and structure.

That model creates a rough “starter for ten” draft:

  • Accurate enough to work with
  • Familiar enough to feel like me
  • Imperfect enough that it still needs editing

I never expect it to be finished. It’s usually about 70 to 80 percent there.

This step saves huge amounts of time because the skeleton is ready, and I can focus on sharpening rather than generating.

Step 5: Human Editing (The Integrity Step)

This is the most important part of the whole workflow.

I go through the draft line by line:

  • Fact-checking claims
  • Fixing tone
  • Rewriting weak sections
  • Adding context
  • Removing fluff
  • Making sure the argument holds
  • Ensuring the message reflects my actual view

This is the part you cannot outsource.

If you remove this step, you lose integrity, accuracy, and accountability. It becomes generic content rather than grounded commentary. I would never put something online that I haven’t personally shaped.

Step 6: Publish With One Button

Once the draft is ready, I hit a single button.

My automations:

  • Publish the content to my blog
  • Generate platform-specific social posts
  • Schedule them across my channels
  • Share the link automatically
  • Archive the draft and notes

This used to take me hours. Now it takes seconds.

The magic isn’t AI alone — it’s AI combined with automation.

Step 7: Engage as a Human

The final step is simple: talk to people.

When someone comments, messages, or asks a question, that’s the human layer again. I reply myself. I clarify. I expand. I challenge assumptions. I learn.

If content is the spark, conversation is the fuel.

And nothing about that can or should be automated.

Why This Workflow Works So Well

A few reasons:

1. It respects accuracy. Multiple sources in, careful editing out.

2. It preserves integrity. AI drafts, but it never decides.

3. It scales without lowering quality. Speed increases, not shortcuts.

4. It keeps my voice at the centre. AI supports my thinking — it doesn’t replace it.

5. It removes friction, not depth. I spend less time formatting and more time thinking.

Which is precisely what tech should do.

Conclusion

My workflow isn’t about producing more content. It’s about producing better content with less friction.

AI helps me gather information, question myself, and accelerate the rough work. Automation helps remove repetitive publishing tasks. And I handle the part that matters most — the thinking, the decisions, the nuance, the voice.

It’s a partnership, not a handover. A balance between speed and integrity. A workflow that reflects what generative AI is actually best at.

AI doesn’t replace the creator. It amplifies the creator who stays in the loop.

The AI Advent Series