Class 6, hybrid format

Methods and prompts

Five methods to take with you

METHOD 01 · TAUGHT 7:05 part of: structure your ask

Write it as Format, then Subject, Details, Motion, Style and Parameters

The video companion to the image and text frameworks. Motion is the new slot: name what moves and what the camera does, or say "static camera" if you want neither.

Where it came fromSydney presented the video prompt structure as the motion companion to the image and text frameworks, adding motion as its own slot so you name what moves and what the camera does, or explicitly say static camera if you want neither.Use it whenUse this as the starting structure any time you write a prompt for a video generation model.

Same idea elsewhereGive it two keyframes instead of one description (class 2) · Speak the language of the internet (class 3) · Write it as a GOLD block (class 4)

Working prompt

Format: [TikTok video, establishing shot, timelapse]. Subject: [the hero]. Details: [what's happening around it]. Motion: [what moves, what the camera does, or "static camera"]. Style: [vibe, colors, textures]. Parameters: [aspect ratio, fps, loop].

You will know it worked whenthe output moves the way your Motion field described, or holds a static camera if that's what you specified, with nothing else drifting.

METHOD 02 · TAUGHT 8:11 part of: context beats prompts

Build the turnaround sheet before you animate anything

Lock a character's front, side, and back as one master reference sheet before generating a single scene. Everything downstream points back to this one file.

Where it came fromSydney's character-consistency pipeline, demonstrated with her dog Baxter, has you lock a character's front, side, and back view as one master turnaround sheet before generating a single scene, so every later scene points back to that one reference file.Use it whenUse this before animating any character across multiple scenes, so its appearance does not drift from shot to shot.

Same idea elsewhereControl the input and build gradually (class 2) · Show it your voice and not just the output (class 3) · Evolve the reference instead of restarting (class 5)

Working prompt

Here's my character design [attach]. Analyze its style first: line weight, color, texture, era. Then build a full turnaround sheet, front, side, and back view, same style and proportions throughout. This becomes my master reference for every scene after this.

You will know it worked whenthe front, side, and back views hold the same line weight, color, and proportions as each other, not three slightly different characters.

METHOD 03 · TAUGHT 8:17 part of: build tools not chats

Let one model write the prompt for another

Hand your keyframe and your goal to a smart model like Claude or ChatGPT, and let it write the render-model-specific prompt. Different video models want different formulas.

Where it came fromSydney showed that different video render models want their own specific prompt formula, so she hands her keyframe and her goal to a smart model like Claude or ChatGPT and has it write the prompt formatted for the specific render model she is using.Use it whenUse this when you have a keyframe and a goal for a video model but are not sure how that particular model wants its prompt formatted.

Same idea elsewhereStand up a reusable Project or Gem (class 4) · Weight your references on purpose (class 5) · Let the agent build the bones (class 8)

Working prompt

Here's my keyframe [attach] and what I want to happen next: [describe the action]. Write me a prompt formatted for [Seedance/Kling/Runway], following its formula: subject, action, environment, camera, lighting, style. Flag anything that risks breaking character consistency.

You will know it worked whenit names a specific risk to character consistency, not just a generic caution, before handing over the formatted prompt.

METHOD 04 · TAUGHT 8:06 part of: structure your ask

Structure the audio prompt separately

Environment, what's making the sound, texture, mix. Visuals get designed first; the audio prompt describes what should support them, not lead them.

Where it came fromSydney taught the audio prompt structure as its own separate framework, environment, what is making the sound, texture, and mix, and stressed that visuals get designed first, with the audio prompt written to support them rather than lead them.Use it whenUse this once your visual prompt is set and you are ready to add sound, music, or dialogue on top of it.

Same idea elsewhereGive it two keyframes instead of one description (class 2) · Speak the language of the internet (class 3) · Write it as a GOLD block (class 4)

Working prompt

Environment: [ambient baseline]. What's making the sound: [footsteps, a door, wind]. Texture: [joyous, muffled, sharp, gritty]. Mix: [foreground or background, loud or subtle]. Music: [label it]. Dialogue: "[quote exactly what's spoken]."

You will know it worked whenthe generated audio matches what you specified in each field, especially the exact words in Dialogue rather than a paraphrase.

METHOD 05 · TAUGHT 8:57 part of: reject the first draft part of: keep the judgment human

Diagnose the edit yourself first

Before asking AI to fix a rough output, name what's actually wrong with it. The output is a first draft; your read on what needs editing is the part only you can supply.

Where it came fromSydney's closing point on editing was that the AI output is only a first draft, and that before asking AI to fix a rough result you should name what is actually wrong with it yourself, since that read is the part only the human can supply.Use it whenUse this before sending a rough AI output back for a fix, so you go in with your own diagnosis instead of a vague request to improve it.

Same idea elsewhereJudge AI output with your own trained eye (class 1) · The sea-of-sameness check (class 2) · Pick the relationship on purpose (class 2)

Working prompt

Here's my raw output: [attach]. I answer first, then you check me. My read on what needs fixing: [color, composite, retexture, trim, pacing]. Tell me if I'm right, then help me execute it as an edit, not a full regeneration.

You will know it worked whenit confirms or corrects your read on what's broken, then executes a targeted edit instead of regenerating the whole piece from scratch.