There's a version of this story I've heard a few times now.

Someone finds out what I do — AI marketing strategist, systems builder, the person who literally builds bots for other businesses — and they assume I've automated everything. That AI touches every part of my workflow. That I've basically handed the keys over.

I get it. That's kind of the dream we sell in this space.

But the reality is more interesting. And honestly, more useful.

Because the most important thing I've learned from three years of working inside AI workflows isn't what to automate.

It's what not to.

And I want to tell you exactly what I do 👇

First drafts. Of everything. Not because AI writes better than me — it doesn't, not at 70% — but because blank pages are a terrible use of human attention.

Here's what that looks like in practice: I feed anchor content into Claude, ask it to find the ideas worth expanding, answer its follow-up questions like I'm talking to a colleague, and let it draft. Then I edit. That part is actually my job — tightening the language, adding personality, cutting anything that feels off.

AI gets me to 70%. My voice and judgment get it the rest of the way.

Same goes for anything repeatable — formatting, organizing, pattern spotting, execution on tasks where the rules are already clear.

That's the easy list. Here's where it gets more interesting.

I talk more about it in this Playbook.

I don't let AI decide positioning.

Positioning is taste, timing, and lived context. AI can surface patterns but it can't feel the stakes.

Here's what I've noticed: sometimes we hand positioning to AI not because it's better at it — but because we don't want to sit with the discomfort of choosing. Choosing means excluding people. Being wrong publicly. Committing before certainty.

So we ask AI to "help clarify" when what we actually want is relief from responsibility.

I'll use AI to explore options and pressure-test ideas — but the final call stays human. Always.

What breaks if you cross this: you blend in. RIP…

I don't delegate without staying engaged.

Human-in-the-loop checkpoints are built directly into my automations — intentional pause points where I review what's been produced before the next step runs. Catching something wrong at step 2 costs almost nothing. Catching it at step 8 costs a lot.

Delegation isn't abdication. AI executes. I remain accountable.

What breaks if you cross this: quality, integrity, and in some cases results.

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🟢 I use AI after I've named the problem. ❌ Never to figure out what the problem is.

🟢 I use AI to speed up execution. ❌ I don't use it to skip decisions.

🟢 I let AI touch work that's repeatable. ❌ I keep work that carries consequence.

If something feels heavy, unclear, or identity-shaping — I stay with it longer. Not shorter.

Free: If you're using AI for content but your output still sounds like everyone else's — the Repurpose Engine shows you how to turn one piece of anchor content into a full week of platform-specific posts that actually sound like you. Grab it free here.

When you're ready: Strategies that Stack® is where we apply this kind of thinking to your specific business — sharpening judgment, building systems that don't override your values, and making decisions you don't have to keep making alone. Get on the waitlist.

— Victoria