Workflow note · by Chu Yue

How to build a quick AI storyboard before the meeting

If you need a visual pitch fast, do not jump straight into full video generation. Draft the scene order, ask for rough black-and-white frames, then clean the keepers in Figma or Photoshop.

📅 Published: June 30, 2026

Best for Pitch decks, concept videos, and pre-vis before you burn credits.

Main move Generate line-art storyboard frames first, then polish only the winners.

Source signal 7,287 likes and 8,082 saves on Rednote.

This is a planning shortcut, not a final-render workflow

The original note from Chu Yue is useful because it solves a real creator problem: sometimes you do not need a polished clip yet. You need a sequence of frames that makes your idea legible right now. For AI video makers, that means fewer blind prompts and less wasted generation time later.

Use it when the story is still fuzzy

A storyboard turns a loose concept into visible beats: who appears first, what the camera sees, and how the scene progresses.

Use it before expensive video runs

It is cheaper to reject rough frames than to discover a broken sequence after a full AI video generation pass.

Use it to sell the idea fast

Clients, teammates, or bosses often react better to six readable frames than to a wall of prompt text.

The shortcut

The four-step workflow

Keep the source logic simple: write the scene sequence, ask for rough storyboard frames, push for more matching variations, then tidy the selected frames into something presentation-ready.

Write the sequence before you ask for images

Do not prompt with vibes only. Start with a scene list that names the people, location, and order of events.

Say who is in each frame and what they are doing.
Write the beats in order, like a six-shot mini script.
Keep the ask concrete enough that the model can stage it.

Storyboard frames generated from a written scene sequence inside an AI chat workflow — Start with a shot list, not a mood board.

Ask for rough black-and-white storyboard frames

Chu Yue's source note uses a simple hand-drawn, line-art look. That is smart because rough boards are easier to control and easier to scan than full polished images.

Ask for a minimalist line-drawing or storyboard style.
Keep the frames monochrome if clarity matters more than beauty.
Request extra frames so you can choose the cleanest sequence later.

A second batch of minimalist storyboard variations generated by an AI tool — Simple line art is often easier to judge than fully rendered concept art.

Expect weak consistency, then brute-force the keepers

The source comments are honest about the biggest limitation: character continuity is shaky. The practical fix is not to pretend it is solved. Generate more, keep the frames that already look related, and refine from there.

Reuse the same style prompt and scene context across iterations.
Ask for more detail in the same visual style after you get one usable direction.
Choose sequence fit over single-frame beauty.

Grid of storyboard panels showing an AI-generated sequence for a visual pitch — Pick the sequence that reads best as a story, not just the prettiest individual frame.

Clean the final frames in Figma or Photoshop

The original note ends with a practical polish step: darken the frames, add borders, and turn raw outputs into a readable presentation asset.

Normalize contrast so the board looks like one set.
Add simple frame borders and spacing.
Export one clean sheet for the deck, brief, or generation plan.

Tutorial thumbnail showing a workflow for creating storyboards with ChatGPT and Illustrator — Rough generation first. Design-tool cleanup second.

Watch the process

A good companion video for this exact workflow

This tutorial is worth the slot because it matches the same teaching point as the source note: use ChatGPT to build the board, then move into a design tool to make the result usable.

Still Generating 11K views 1 year ago

How I Build Storyboards with ChatGPT and Illustrator (Fast + Free)

It is short, process-led, and tightly aligned with the article. More importantly, it shows the same move creators actually need here: get the sequence visible fast, then clean it up in a tool you already know.

Tool stack

What each tool should do

This workflow works because each tool only has one job. Keep it that way.

ChatGPT or another image-capable planning tool

Turn a written sequence into rough storyboard frames. The goal is structure, not final beauty.

Reference notes or shot list

Use a scene outline so the model knows the order, people, and setting from frame to frame.

Figma or Photoshop

Unify contrast, add borders, fix spacing, and export one clean board that other humans can read fast.

Why the workflow holds up

Three small reasons this one stays useful

AI storyboard prompt workflow in a chat interface — It starts from sequence thinking, which is the real bottleneck in AI video.

Minimal line storyboard variations generated for shot planning — It uses rough frames instead of pretending first-pass outputs will be perfect.

Storyboard panel grid for a quick concept pitch — It ends in a readable board you can actually present, not just another prompt tab.

Common misses

What usually breaks first

Character consistency

The source comments call this out directly. If the same character keeps mutating, narrow the style, keep the framing simple, and choose the best matching set instead of forcing one magic prompt.

Over-polished prompts too early

If you start with cinematic beauty instead of readable beats, you can end up with lovely images that still do not tell the story in order.

Quick takeaway

When your AI video plan feels vague, storyboard it before you animate it. A rough six-frame board often saves more time than a prettier prompt ever will.