How to Create Professional AI Projects for Clients (Step-by-Step)
As AI filmmaking matures into agency and client-facing work, robust pre-production organization systems like Milanote are becoming essential for managing consistency and creative feedback loops.
What this lesson covers
This video breaks down a professional AI pre-production workflow using Milanote as a central creative command center for client projects. It demonstrates how to organize research, character designs, location studies, lighting references, and tasks in one workspace.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 0:11 ↗
In the pre-production phase for client work, using a dedicated visual workspace like Milanote helps transition from scattered ideas to structured scenes.
- 1:19 ↗
You can upload reference links, articles, and Spotify tracks directly into Milanote to compile your research and mood boards in a single location.
- 2:02 ↗
Built-in to-do lists allow teams to track sequential steps like character design, location design, lighting, and character integration.
- 2:56 ↗
The platform supports drawing and sketching directly on uploaded images to add visual annotations, such as marking directional lighting or god rays.
Workflow outlined in the video
- Set up a central workspace in Milanote for your upcoming AI video project.
- Create dedicated boards or columns for research links, mood boards, and script documents.
- Establish a to-do list outlining pre-production stages like character design and location lighting.
- Use drawing and commenting tools to annotate reference images with specific lighting instructions for your team or client.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
How to interpret the numbers
13,726 views captured 24 October 2026. ReelStack recommendation score: 26/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
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