What does it take to move learners from curiosity about AI to actually creating something meaningful with it?

In this multi-part, project-based workshop series, Shanice Brown set out to answer that question—not through theory, but through building. Participants didn't just explore AI tools; they used them to take an idea from concept to completion, ending with a fully structured video story.

And they didn't do it alone.

Throughout the experience, participants were guided by Jace, a custom-built AI avatar mentor designed to walk alongside them through each phase of the process—explaining concepts, modeling workflows, and reinforcing confidence in real time.


Meet Jace: A Creative Guide Built with AI

Jace wasn't just a visual element—he was a core part of the learning experience.

Designed as an anime-style, teen-friendly mentor, Jace introduced each workshop, broke down complex steps into accessible language, and provided encouragement throughout the process. Whether learners were brainstorming ideas, refining scripts, or building their final video, Jace was positioned as a consistent, supportive guide.

This approach created a more engaging and relatable experience—especially for learners new to both AI and creative production.

By embedding Jace into the workshops, the experience shifted from:

  • Instructor-led
    to
  • Guided, interactive, and self-supported

 


Building a Story, Not Just Skills

The workshop series was intentionally designed to meet learners where they were. No prior experience with AI, design, or video editing was required—just curiosity and a willingness to experiment.

Participants ranged from students to professionals, all stepping into the same process: learning how to think, create, and iterate with AI.

The experience was structured into three core phases:


Workshop 1: From Idea to Script (Microsoft Copilot)

Participants began by developing their story concepts—individually and collaboratively.

With Jace guiding the process, learners:

  • Brainstormed ideas using structured prompts and collaborative tools
  • Used Microsoft Copilot to generate and refine scripts
  • Learned how to iterate effectively using prompt → review → refine → reprompt

Jace reinforced that AI is not a replacement for creativity—but a partner in shaping it.


Workshop 2: From Script to Visuals (Microsoft Designer + Figma)

With scripts in place, participants shifted from words to visuals.

Using Microsoft Designer, they generated scene-by-scene images using a simple framework:
Perspective → Character → Context → Action → Expression

Jace demonstrated how to apply this framework in real time, modeling how to translate written scenes into visual prompts.

Participants then brought their images into Figma, where they:

  • Built structured storyboards
  • Added scene descriptions and context
  • Evaluated narrative flow visually

This step allowed learners to see their stories come to life—frame by frame.


Workshop 3: From Storyboard to Video (Microsoft Clipchamp)

In the final phase, participants turned their visuals into fully edited videos.

Guided by Jace, they:

  • Imported storyboard images into Clipchamp
  • Built timelines and structured scenes
  • Used AI-assisted editing features to generate initial video drafts
  • Added voiceovers, captions, and music

Jace helped learners navigate this step with clarity—reinforcing that simple, intentional edits often outperform complex ones.


A Repeatable Creative Pipeline

One of the most impactful outcomes of the series was not just the final videos—it was the process learners walked away with.

Participants experienced a full creative pipeline:
Idea → Script → Visuals → Structure → Video

With Jace reinforcing each stage, learners were able to internalize not just what to do—but how to think through the process.

This combination of:

  • Structured frameworks
  • AI tools
  • And a consistent avatar guide

created a learning experience that was both scalable and deeply engaging.


Learning by Doing (With Guidance That Scales)

This was not a passive workshop series.

Each session was interactive, hands-on, and designed to mirror real-world creative workflows. Participants built alongside both the instructor and Jace—creating a dual-layered learning experience.

Jace's presence also introduced a powerful concept:
AI can be used not just as a tool—but as a guide.

This opens the door for scalable, self-paced learning environments where support doesn't disappear when the instructor steps away.


Why It Matters

AI is rapidly changing how content is created, communicated, and consumed. But access to tools alone is not enough—learners need structure, guidance, and confidence to use them effectively.

This workshop model demonstrates a new approach:

  • AI as collaborator
  • AI as creative engine
  • AI as instructor support

When learners are given both tools and a guided process, the barrier to entry drops—and the quality of output rises.


Looking Ahead

This workshop series represents more than a one-time experience—it's a model for how AI education can evolve.

By combining:

  • Hands-on creation
  • Clear frameworks
  • Real-world tools
  • And an AI-powered guide

The experience becomes repeatable, scalable, and impactful.

This wasn't just about learning AI.
It was about building with it—and realizing what's possible when creativity meets the right support.

Technologies