AI Won't Fix Your Content. Your Inputs Will.

Waddup y'all! Quick update before we get into it.

I recently saw a post on LinkedIn from a former manager of mine. She’s running her own coaching business and made this huge, bold statement about how AI can never replace her or the value she brings.

I noticed two things - one, she most definitely used ChatGPT to write the post (lol) and two, it was very obvious that her tone was saying “I’m scared of AI and what it can do.”

There’s no need to be scared of AI. Truly.

AI is a groundbreaking tool for us to use to our advantage.

And I’m not just saying that.

I just wrapped a hackathon where I presented on how to use AI to scale your ads business. And I've been deep in the weeds building custom performance dashboards for clients that track everything from creative performance to audience segments to hook analysis, all pulling live data and generating strategic recommendations automatically.

More on that in a minute.

But here's what I keep seeing. And it's the reason I wanted to write about this today.

There are two camps right now.

Camp 1: "AI is going to replace everyone. Content is dead."

Camp 2: "AI content sucks. I tried it and the output was garbage."

Both are wrong. And both are missing the actual unlock.

The problem isn't AI. The problem is how people use it.

Here's what most people do. They open ChatGPT/Claude/Gemini, type something vague like "write me a social media strategy," get a generic response, and then say "see? AI doesn't work."

That's like handing a contractor a blank napkin and being mad the house looks wrong.

No blueprint. No context. No specifics about what you're building or who you're building it for.

Of course the output sucks. The input sucked first.

This is the thing nobody wants to hear.

AI is not a magic button. It's a tool. And like any tool, the results depend entirely on who's using it and how.

When I use AI, I don't just ask it to "do the thing." I give it context. I give it constraints. I tell it what I'm trying to accomplish, who the audience is, what the tone should feel like, what success looks like.

And here's the part most people skip entirely.

I make AI ask ME questions first.

Before I let it create anything, I have it interview me. "What's the goal? Who is this for? What's worked before? What hasn't?" I force it to understand the problem before it starts solving it.

That one shift changes everything.

Because now the AI isn't guessing. It has real context. And the output goes from generic garbage to something I can actually work with and refine.

Here's where I lose most people.

Everyone's looking for the perfect prompt template. The magic string of words that makes AI spit out exactly what you want.

That doesn't exist.

What exists is strategic thinking. Knowing your business. Knowing your audience. Knowing what metrics actually matter. And then using AI to scale that knowledge across everything you're building.

Let me give you a real example. Actually, let me show you.

I recently built two custom dashboards for clients. Completely different businesses, completely different needs. I recreated demo versions so you can see exactly what I'm talking about.

Demo 1: Content Performance Dashboard (for a DTC brand running paid Meta ads) Tracks ad creative performance across audience segments. Ranks hooks by cost efficiency, measures hold rates, and auto-generates strategic next steps based on the data. Think: which creative is actually driving new customers for the lowest cost, broken down by who you're targeting.

👉 Click here to explore the demo (password: socialplaybook)

Demo 2: Influencer Marketing Dashboard (for an outdoor lifestyle brand) Maps an entire influencer marketing program by funnel stage. Awareness creators measured on reach. Consideration creators measured on engagement. Conversion creators measured on sales. Each one evaluated against the right KPIs for their role, not a blanket "did this convert?" applied to everyone.

👉 Click here to explore the demo (password: socialplaybook)

Take 2 minutes and click around. I'll wait.

AI built these. But here's what AI didn't do.

AI didn't decide which metrics matter. AI didn't design the framework for mapping content to funnel stages. AI didn't know that you need to evaluate a top-of-funnel creator differently than a bottom-of-funnel one.

I did. That's the expertise part.

AI was the engine. I was the driver.

So if AI isn't a magic content button, where does it actually help?

Three places I use it every single day.

1. Research and validation before I execute

Before I build a content strategy for a client, I use AI to pressure-test my thinking. I'll lay out my approach and ask it to poke holes. What am I missing? What audience segments am I ignoring? What's the counter-argument to this positioning?

It's like having a sparring partner who's read everything and never gets tired.

2. Building systems that scale

Those dashboards I mentioned? They pull live data from Google Sheets, process it, and present it in a way that a founder or investor can actually understand without digging through spreadsheets.

That's not "AI content creation." That's using AI to build operational infrastructure for content teams. Huge difference.

3. Variations and iteration once you have a winner

Once I know a hook works, once I know a creative angle is performing, AI helps me create variations at speed. Different lengths, different openings, different angles on the same core insight.

But the key word is "once you have a winner." You need the strategic judgment to identify what's working first. AI just helps you do more of it faster.

It's "do I have the expertise to direct it?"

Because here's the uncomfortable truth. AI makes good strategists better and bad strategists worse.

If you know what you're doing, AI is a multiplier. You move faster. You see patterns quicker. You build things that would've taken a team of five and two months.

If you don't know what you're doing, AI just helps you produce more bad content, faster. And now instead of one mediocre post a week, you're putting out five mediocre posts a day. That's not progress. That's noise.

The brands winning with AI right now aren't the ones using it to replace their content team.

They're the ones using it to make their content team's expertise go further.

Since we're on the topic.

I've been building these custom dashboards for clients and the response has been kind of wild. Founders telling me they've never had this level of visibility into what's actually working.

If you clicked through those demos above, you saw it. Real-time data, broken down by audience, by creative, by funnel stage, with strategic recommendations baked right in. No more digging through spreadsheets or guessing what's working.

So I'm starting to roll out custom content and performance dashboards as a standalone offering. If you're spending money on content or ads and don't have a centralized place to see what's working, what's not, and what to do next, this is exactly what I build.

Most agencies charge $20k+ for something like this. I'm offering them at a fraction of that because I think every brand spending on content deserves to actually see what they're getting for it.

If that sounds interesting, just reply to this email and I'll walk you through what it looks like for your brand.

Talk soon,

Chase