🏴‍☠️ Load the assets before you prompt

Most people prompt an AI video tool like they're ordering lunch off a laminated menu: "Make me a 30-second UGC video for this product, and make it feel real." Then they wonder why the face mutates between takes, the product looks wrong, and the kitchen rearranges itself in every single clip. One prompt engineer posting on r/PromptEngineering finally put a finger on the actual culprit.

The famous one-line request isn't the prompt at all. The context you stack before it is. Working inside Claude Code with OpenArt's MCP, the creator loads a character sheet, a location image, and a set of product photos first, and only then types the short request last, so it can point back at assets that already exist rather than conjuring them from nothing.

That single reorder changes where identity lives: in files the model can look at again, not in words that drift. You stop describing a brand-new face and a brand-new room from scratch on every pass. Here's why I think it earns your next ten minutes: it turns a slot machine into a process you can run twice.

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The old way feels like progress but it's really dice. You write one long descriptive prompt covering the person, the kitchen, the lighting, the product, and the vibe. You generate, get a different human back, rewrite the words, and roll again.

The reference-first way splits the job differently. You build the inputs once, give each one a clear role, and keep the instruction short enough to just refer to them. Identity stops living in your adjectives and starts living in a file.

Think of it like handing a freelance editor a folder of assets instead of reading a description down the phone. The editor stops guessing. You stop paying for guesses.

The expanded direction the creator shared does four quiet but heavy things. First, it assigns reference roles: the character sheet is identity, the location image is setting, the product photos are appearance. Nothing is left for the model to invent on its own.

If a product photo happens to show a hand or a face, the brief tells the model to ignore that person and take only the product. Then comes the rule I like most: ask about missing details before inventing them. One commenter said that single line kills most of the back-and-forth later.

Typical gaps are the product's real size, what the person is allowed to claim, and whether the tone is casual or hyped. The model surfaces those holes instead of papering over them. Small ask, big payoff.

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The last two moves are about money and time. The brief forces a shot list, dialogue, and camera moves for review before anything renders. Reading a plan takes a minute; regenerating a bad clip takes far longer.

There's also an approval gate: the model name and the credit cost surface before a single frame is generated. You don't burn credits on a plan you'd reject anyway. That's the part that sold me.

The setup is less work than it sounds. Make one character sheet with a front view and a side angle, pick a single location image with simple steady lighting, and gather product photos from several angles. Add one shot with the product in a hand so scale reads as believable.

Then paste the brief, adapt the wording to your product, and answer its questions about tone, length, and claims. Review the shot plan, and cut any line of dialogue you wouldn't say out loud to a friend. Approve, generate, then inspect faces, hands, labels, and motion frame by frame.

Reading the order is the easy part; reaching for references before adjectives takes a few reps. 3 Minute AI is built around that: three-minute lessons that each end with a task you run in a built-in chat lab, including an ai-video track where you practice moves like this one instead of just reading about them. Daily lessons and two full courses are free.

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The contributor is upfront about the limits. This template expands the direction shown in a short demo reel; it isn't a controlled test, and it won't guarantee consistent output. Generated video still warps labels and mangles hands.

So treat the brief as a better starting structure, not a promise. When a clip fails, fix the reference that caused it, a sharper product photo, say, instead of piling more adjectives onto the prompt. That's the whole mindset shift.

Today, open a folder for your next video and drop in three files first, a character sheet, a location shot, and your product photos, each one given a single job before you type a word of the actual request.

If you want the character-sheet layout and the exact 'ask about gaps instead of inventing' instruction, here's the full brief and folder setup.

Worth 10 minutes if you're tired of re-describing the same face every single time you prompt a new clip.

Credits to the original creator.