How to Build an AI Video Workflow from Scratch
Random generation gets random results. A structured workflow gets consistent quality. Here's how to build one.
Most people use AI video generators like slot machines: write a prompt, pull the lever, hope for something good. This approach wastes credits, produces inconsistent results, and makes it impossible to deliver reliable quality for clients or audiences.
A proper workflow changes everything. Here's how to build one from scratch.
Phase 1: Planning
Before you write a single prompt, answer these questions:
What's the final deliverable? A 15-second Instagram Reel? A 60-second product video? A series of clips for a presentation? The end format determines every decision that follows — resolution, aspect ratio, model selection, and how many clips you need.
What's the shot list? Break your project into individual shots. Each AI generation produces one short clip (typically 5-10 seconds), so think in shots, not scenes. A 30-second video might require 4-6 individual generations.
What's the visual style? Cinematic? Corporate? Artistic? Documentary? Defining style upfront ensures consistency across multiple generations. Write down 3-5 reference words (e.g., "warm, handheld, golden hour, intimate, film grain") that apply to every shot.
What's the budget? How many credits can you spend? This determines whether you use premium models for everything or adopt a draft-then-finalize approach.
Write this down. Even a simple brief — deliverable, shot list, style keywords, budget — prevents the aimless generation that wastes resources.
Phase 2: Prompt engineering
With your plan in hand, write prompts for each shot. Follow this structure:
Template: [Subject] + [Action] + [Setting] + [Lighting] + [Camera] + [Style modifiers]
Example shot list for a 30-second cafe commercial:
- Wide establishing shot of the cafe exterior at golden hour
- Close-up of espresso being poured into a ceramic cup
- Medium shot of a customer reading at a window table
- Detail shot of pastries in a glass display case
- Wide interior shot showing the warm, busy atmosphere
Prompt for shot 1: *"Exterior of a small corner cafe with a dark green awning, warm light glowing from inside. Pedestrians walk past on the sidewalk. Golden hour, long shadows on the pavement. Wide establishing shot, static camera, cinematic aspect ratio, film grain."*
Notice how the style words from Phase 1 (warm, film grain, golden hour) appear consistently across prompts. This is how you maintain visual coherence across clips.
Phase 3: Model selection
Match each shot to the best model:
| Shot type | Recommended model | Why |
|---|---|---|
| Establishing wide shots | Sora 2 | Best at scene composition and atmosphere |
| Product/food close-ups | Veo 3.1 | Sharpest detail and texture rendering |
| Character movement | Kling 3.0 | Most natural motion quality |
| Stylized or artistic | Seedance 2.0 | Best creative interpretation |
| All drafts | Nano Banana Pro | Fastest and cheapest for testing |
For the cafe commercial example, you might use Sora 2 for shots 1 and 5 (atmosphere), Veo 3.1 for shots 2 and 4 (detail), and Kling 3.0 for shot 3 (natural human motion).
Phase 4: Draft generation
This is where the two-pass approach saves you credits and headaches.
First pass: Nano Banana Pro at 720p. Generate every shot in your shot list using Nano Banana Pro at low resolution. This is your rough cut. Review each clip for:
- Does the composition match your vision?
- Is the motion appropriate?
- Does the lighting feel right?
- Are there obvious artifacts or issues?
Iterate prompts. For any shot that doesn't work, adjust the prompt and regenerate. At 720p on Nano Banana Pro, each iteration is cheap and fast. Spend your iteration budget here, not on premium models.
Lock your prompts. Once every shot looks right at draft quality, your prompts are locked. Don't change them in the next phase.
Phase 5: Final generation
Now generate for real.
Switch to premium models at target resolution. Take each locked prompt and generate it on the model you selected in Phase 3 at your target resolution (usually 1080p). Because the prompts are already refined, you should get strong results on the first or second generation.
Generate 2-3 variations per shot. Even with refined prompts, each generation produces slightly different output. Generate 2-3 versions of each shot and pick the best one. This gives you options in editing.
Check consistency. Before moving to editing, review all your final clips together. Do they feel like they belong in the same video? If one shot has a noticeably different color temperature or style, regenerate it with adjusted keywords.
Phase 6: Post-production
Raw AI clips need editing and polish, just like raw camera footage.
Assembly. Import all selected clips into your editor (DaVinci Resolve is free and excellent). Arrange them according to your shot list. Trim each clip to remove any initial frame glitches (common in AI video — the first 2-3 frames are sometimes off).
Color grading. Apply consistent color grading across all clips. This is the most effective way to unify footage from different AI models. Create a single look (LUT or manual grade) and apply it to everything. Reduce saturation by 10-15%, add a slight color cast, and match contrast levels across clips.
Transitions. Use simple cuts for most transitions. Dissolves work for time passages. Avoid flashy transitions — they scream "amateur." Let the content carry the edit.
Audio. Add music, sound effects, and ambient audio. Sound design is the most underappreciated element of AI video production. A properly scored clip with ambient sound feels 10x more professional than silent footage. Use Pixabay or Freesound for free sound effects.
Text and graphics. Add titles, lower thirds, captions, or branding elements as needed. These can mask minor AI artifacts — text overlays on slightly glitchy frames are a practical editing technique.
Phase 7: Export and delivery
Match the platform. Export at the specifications your distribution platform requires:
- Instagram Reels/TikTok: 1080x1920 (vertical), H.264, 30fps
- YouTube: 1920x1080 or 3840x2160, H.264 or H.265, 24-30fps
- Web embed: 1920x1080, H.264, optimized file size
- Presentation: 1920x1080, H.264, maximum quality
Quality check. Watch the final export all the way through on different screens (phone, laptop, monitor) before publishing. Issues that are invisible on one screen may be obvious on another.
The workflow in practice
Here's what this looks like end to end for a real project:
Monday: Plan the project. Write brief, shot list, and style guide. (30 minutes)
Tuesday: Write all prompts. Draft-generate at 720p on Nano Banana Pro. Iterate and refine prompts. (1-2 hours)
Wednesday: Final-generate on premium models. Pick best variations. (1 hour of active work plus generation time)
Thursday: Edit, color grade, add audio. Export and deliver. (2-3 hours)
Total active work: roughly 5-7 hours for a polished 30-60 second video. The workflow is the difference between spending those hours productively and spending them randomly generating and hoping.
Start building yours
Every creator's workflow will be slightly different based on their content type, budget, and skill level. But the phases — plan, prompt, model-select, draft, finalize, edit, deliver — are universal.
On PonPon, you have everything you need to execute this workflow: multiple models for different shot types, resolution control for draft vs. final passes, and image-to-video for when you want maximum control. The tools exist. The workflow is what turns them into consistent results.
