Layer

Full update here: layer.ai/blog/monthly-u…

February updates on Layer are live 👇 • New models added: Google Nano Banana 2 & ByteDance SeedDream • Shareable workflows to collaborate across UA, LiveOps & creative teams • Fully redesigned export system (PSD, metadata, resolution in one place) • New guides on IP-consistent AI generation & choosing creative automation tools • Talks from @PGConnects London now available • Next stop: GDC 2026 Building the production layer between a creative brief and final assets.

They don’t hire 10x more designers. They get 10x more usable variations. This is the real reframe: Designers shouldn’t spend time duplicating assets. They should direct systems that multiply them. Their value isn’t in exporting variations.

With Layer AI, one character concept can spawn 30 different UA ads. Same character. Same art direction. Different settings ready for UA testing. What users really wanted wasn't a new game, they wanted a new reason to click. The result? Massive ROAS lift and a creative team saved from burnout.

UA and LiveOps are becoming more creative-driven. More channels. More tests. More events. Shorter cycles. The teams that win aren’t the ones with bigger budgets. They’re the ones that can produce, test, and iterate creatives faster without losing quality or brand control. Why is Layer so effective?

– Support both marketing and in-game promotions. No workflow disruption No long setup. 4. No Onboarding Friction—Try Instantly Busy teams don’t have time for long setup cycles. Layer delivers value immediately: No complex onboarding. No pipeline rebuild. No lengthy training phase.

The result is high-volume creative output that still feels handcrafted. 3. Designed for Real Game Pipelines Layer fit into how teams already work. – Export assets as layered PSDs – Refine quickly in Photoshop – Edit specific elements without regenerating everything.

More channels. More tests. More events. Shorter cycles. Driven by a systematized approach to mobile growth that demands faster, more frequent, and more complex operations. That’s why teams are turning to tools built specifically for games, not generic AI.

And traditional pipelines just aren’t built for that speed. But what if there was another way? A way to generate on-brand, game-ready assets faster and more efficiently. A way to scale creative output without scaling burnout. Here’s the simple truth: UA and LiveOps teams are under pressure like never before.