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#AI+Images

ai agents creative teams

The 6 best AI agents for creative teams in 2026

Today, marketing and creative teams are increasingly using AI agents to gain a competitive advantage. These agents, which can operate independently, can make decisions, surface valuable insights and complete complex tasks in creative workflows without step-by-step prompting, promise unprecedented speed, scale and efficiency. The AI agents market is projected to grow to $50.31 billion by 2030 and that 79% of executives report broad adoption.
12 min to read

Battle of AI Generators: Leonardo AI vs. Midjourney in 2026

As new AI creative tools flood the market, choosing the right AI image generator for your project can feel daunting. Every tool promises to transform your creative process and instantly bring your vision to life. But what’s the difference between them, and which should you pick for your next project? Two major AI image generators in the market right now are Midjourney and Leonardo AI. If you’re wondering how these giants stack up against each other, we’re here to cut through the confusion. This isn’t just a comparison; it’s an epic showdown. We take a closer look at what each platform can (and can’t) do for your brand.
how to train an ai image model
6 min to read

How to train an AI image model on your brand

AI image generators are built to impress. But they aren’t built to learn your brand—making consistency and scalability a challenge for creative teams. That’s where custom AI image models come in. Trained on your brand’s visual identity, they help your team produce consistent, high-quality outputs—without wasting time on prompt engineering or post-production fixes.
7 min to read

How custom AI image models scale brand creative

You’ve got a set of brand icons—and now you need more. A lot more. Your lifestyle image library? Decent. But not quite right for the idea you’ve got in mind. And, at this point, you’re pretty sure your customers are playing bingo with all the recycled shots. AI is fast and efficient. But most off-the-shelf image and illustration tools (foundation models) are trained on generic data. You can prompt them and share samples. You’ll get close—but never close enough.