Everyone’s Screaming About AI Creatives — But They’re Doing It All Wrong

They’re churning out ChatGPT scripts, fake UGC, or vague Midjourney concepts — and wondering why nothing performs.

AI isn’t magic.
It’s not a replacement for good strategy.
And it’s definitely not an excuse to skip the fundamentals.

Used right, though?
AI becomes the most powerful creative engine you’ve ever used.

We’ve built systems that use AI to turn raw customer data into winning ads — and they’re working across brands doing $1M to $50M+ in revenue.

Let’s break down the biggest mistakes we see — and how we’re using AI to help our clients scale:

Mistake #1: No Strategy Behind the AI

Most teams throw tools at the wall — ChatGPT, Midjourney, Claude — without a plan.

No structure. No feedback loop. Just noise.

What We Do Instead:
We tie every prompt to our customer research database. That means the outputs are rooted in actual pain points, desires, and objections — not vibes.

Example Prompt:

Mistake #2: No Connection to Real Data

If your AI isn’t fed customer insights, your creative will always feel generic.

What We Do Instead:
We mine large-scale review data, Reddit threads, support tickets, and survey responses using tools like DeepResearch and Gigabrain — then inject that into prompts.

The result: copy and concepts that actually reflect how customers think.

Mistake #3: No Human Filter

AI is your intern — you’re still the creative director.

What We Do Instead:
Every AI-generated idea is passed through a strategist with a checklist:

• Does it reflect customer data?

• Is it on-brand?

• Does it differentiate?

No lazy prompts. No generic outputs. No cringe ads.

Mistake #4: Reinventing the Wheel

Most teams rebuild their prompt docs from scratch every week. That’s not scale.

What We Do Instead:
We built a centralized Prompt Library in Notion.
Every proven prompt is tagged by use case: research, scripting, variations, etc.

Now our team can move 10x faster — and improve over time.

Mistake #5: Stacking Tools, Not Building Systems

Trying every AI tool on Twitter ≠ having a repeatable workflow.

What We Do Instead:
We stitch together tools + prompts + logic inside platforms like Poppy AI or Gumloop to build full creative workflows.

Examples:

• Creative Performance Analyzer (turns raw metrics into creative learnings)

• Facebook Comment Miner (turns comments into insights + hooks)

These aren’t experiments — they’re running live today.

Mistake #6: Skipping Team Training

You can’t outsource innovation. Buying a tool doesn’t level up your team.

What We Do Instead:
We’re training every strategist on prompt engineering like it’s copywriting 2.0.

AI is no longer a nice-to-have skill — it’s foundational for anyone touching growth.

Bottom Line:
The AI wave isn’t coming. It’s already here.

If you want to win in 2025, don’t just play with tools — build systems, connect data, and train your people.