Most people think the biggest limitation of AI right now is quality. But after testing dozens of platforms, I realized the real problem is fragmentation. Creatives aren’t spending most of their time creating — we’re spending it switching tools: image generators, video models, audio systems, editors, and project management apps. That constant context switching kills momentum, slows everything down, and makes it hard to keep a project consistent. In this video, I break down why Luma Agents feels fundamentally different: it’s not “another model in a workspace,” it’s what Luma calls the first agentic AI workspace. The core idea is a unified canvas where you can generate images, video, audio, and text in one place, while an agent orchestrates the workflow across steps instead of just responding to prompts. What stood out to me is the context layer — the agent maintains continuity across assets, scenes, characters, and sequences, and it understands space, motion, and structure rather than just outputting isolated generations. The big takeaway: the future isn’t just better models, it’s better collaboration between you and intelligent agents — you’re not replacing creativity, you’re multiplying it.