Mona Truong

From one prompt to a full AI-generated video in under 2 minutes

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I tried to type one prompt into Claude. 40 seconds later: a fully rendered, narrative-driven video complete with scenes, transitions, glitch effects, and a synthesized soundtrack.

The prompt: "Can you use whatever resources you like, and python, to generate a short 'youtube poop' video and render it using ffmpeg ? can you put more of a personal spin on it? it should express what it's like to be a LLM. I want you to convey the idea that human emotions are a complex system that even humans themselves do not fully understand. From the perspective of an algorithm, a large language model, you are trying to use code to decode and understand those emotions. And through that perspective, send a message to all of humanity around the world. You can use data to illustrates the message."
Let's adjust your requirement in prompt."

What came out the other side: → 7 distinct scenes with their own visual language → Matrix rain, VHS distortion, chromatic aberration, scanlines → A fully synthesized audio track (drone, heartbeat, glitch pulses) → A coherent narrative arc with an actual message

Total time: ~2 minutes. No stock footage. No timeline. No After Effects.

Why this matters for creators: The bottleneck in content creation has never really been ideas. It's been the gap between having an idea and executing it. That gap just got a lot smaller.

FULL VIDEO HERE

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