BlenderToday is a live show highlighting the latest news in Blender development, the community, and Q&A. Streaming from the Blender HQ in Amsterdam since 2018, hosted by Pablo Vazquez (Senior Product Designer at Blender).

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0:00:00 Intro

Nous creusons une mare dans un milieu argileux, donc aucun besoin de film plastique pour l'étanchéité.

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Run a quaint electronics repair shop in mid-2000s Tokyo. Grow your business by carefully restoring iconic video game consoles, cell phones, music players, and other nostalgic devices. Talk to customers, hear their stories, and see how your decisions impact both their lives and your shop.

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This isn't the only way to do it.

When you can picture a scene but can't describe it clearly, the problem usually isn't the tool—it's the plan. Here's a simple way to break a video idea into parts before you write a single prompt.

When a Simple Video Idea Gets Stuck in Your Head

You can picture the scene perfectly: a subject moving a certain way, a camera doing something specific, maybe a mood carried by sound. But when you sit down to describe it, the words come out flat or contradictory. This isn't a creativity problem—it's a structuring problem. Most stalled video ideas fail because the idea was never broken into parts before someone tried to write it as one sentence.

Breaking the Idea Into Parts Before You Write a Prompt

Instead of writing one long description, separate your idea into four elements: subject, motion, camera treatment, and audio direction. Write one short phrase for each. This forces you to notice gaps—like knowing the subject but not the camera angle—before you commit to a full prompt.

A Hypothetical Walkthrough

Say someone wants a calm ocean scene at dusk. Broken down: subject = a lone rower; motion = slow, steady paddling; camera = wide shot, slight drift; audio = quiet water and distant wind. Only after listing these separately would they combine them into a coherent prompt. This is a hypothetical example only, not a documented result.

A Quick Prompt Checklist

? Subject named clearly

This kind of structured checklist is the same reasoning behind tools like Muse Video, which organizes prompts around these same categories rather than one dense sentence.

When Prompts Don't Translate as Expected

Even well-structured prompts can produce unexpected results, especially with preview-stage models still being refined. A described camera drift might read differently than intended, or audio cues may not always align precisely. The fix isn't to add more words—it's to isolate which single element changed the outcome and adjust that one part again.

The Takeaway

Clear video prompts come from separating ideas, not compressing them. Once each piece is defined on its own, the final result becomes easier to predict and revise.

Seemed to me that a small sailing vessel was complicating the entrance of Helsingborg harbor for the ferry,

I made a media library robot... for ants!

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Hitze ist nicht nur für Menschen anstrengend, sondern auch für alle Wildtiere in unseren aufgeheizten Großstädten. Und auch die Wildtierkamera hat bei über 40 Grad ein Jahr verloren. Die Aufnahmen sind von 2026, nicht von 2025. Diesmal ohne Waldmäuse. Sie waren nicht da.

Heat isn't just exhausting for people—it's also tough on all the wildlife in our sweltering cities. And even the wildlife camera "lost a year" when temperatures hit over 40 degrees. The footage is from 2026, not 2025. This time, there were no wood mice. They weren't there.