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Merry Christmas, everyone!🎄

In today’s newsletter,

AI Launch Codes (For Premium Users Only):

This issue takes 3 minutes to read.

Let’s dive into it👇

With AdQuick, you can now easily plan, deploy and measure campaigns just as easily as digital ads, making them a no-brainer to add to your team’s toolbox.

You can learn more at www.AdQuick.com

Ad creative production rarely slows because designers are ineffective. It slows because direction is unclear.

Vague briefs, shifting feedback, and mixed priorities leave designers guessing what actually drives performance versus what is merely aesthetic.

On top of that, platforms like Meta now reward creative diversity over a single long-running ad, increasing pressure to produce volume quickly without losing structure.

AI can execute at speed. The real bottleneck is direction and having the structure to consistently produce ad-worthy creative.

This designer is ads-first.

Its job is to:

Once ad thinking is in place, the same designer can support:

A chat resets every time. but this designer doesn’t.

That’s the difference between asking for designs and having a designer.

Step 1: Went to the AI Copywriting employee and generated ad copy for Sports Research using an ad reference.

Note: for this example, we assume Sports Research as our brand, and the ad from LivingGood Daily as the reference ad.

We don’t want AI to guess how our pill looks, so this would be the third image we attach, leaving absolutely no room for guessing.

Step 2: After we got the copy, we took that copy and the images to our Creative Intelligence employee to generate a design brief.

Step 3: Passed everything to the AI Design employee and generated the ad exactly how we wanted it.

There was a process & system that I followed, which got me exactly what I wanted. Without actually hiring a designer.

Result?

What happens when you don’t follow a process such as this?

You get bad output. Because your output will only be as good as your input.

Here are some bad examples you’re prone to receive when you try generating it as a one-off task:

In the paid section, we’ll show exactly how to build this designer, train it once, and reuse it across ads, PDP visuals, and other surfaces.

Find it at the end of this newsletter.

Test it free for 7 days. Love it? Keep it for $17/month. Cancel anytime.

AI Launch Codes is built for you—our subscribers. Tell us what you want next, and we’ll start building the workflow.

👉 Click here to tell us what to build

We heard you were facing problems accessing our AI Launch Codes issues, so we’ve created a simple step-by-step for you:

Why this framework matters:

It provides a repeatable way to turn customer insights into revenue, rather than relying on guesswork for headlines and offers.

It forces you to sell around real problems, proof, and outcomes rather than product features or vibes.

Credit: Oliver Kenyon

Most founders build the product first.
Then scramble for traffic, ads, and growth.

Seth flipped the order.

He built an audience years before launching Wellness.

By the time the product existed, demand already did too.

In this conversation, Seth broke down:

If you are building or scaling and growth feels harder than it should, this episode is worth your time.

👉Watch the episode here

Over the next year, Roku predicts that 100% of the streaming audience will see ads. For growth marketers in 2026, CTV will remain an important “safe space” as AI creates widespread disruption in the search and social channels. Plus, easier access to self-serve CTV ad buying tools and targeting options will lead to a surge in locally-targeted streaming campaigns.

Read our guide to find out why growth marketers should make sure CTV is part of their 2026 media mix.

Learn more.