Great — let’s flesh this out into a clearer MVP demo plan with a voice-over script, UI interactions, and LLM prompts/responses to help your team or presenter explain it clearly in under 5 minutes.

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Demo Goal (Elevator Pitch):

“This is a lightweight web app that connects to an LLM. The user talks to the AI assistant to set up and manage a creative 3D project. Based on what the user says, the UI updates automatically — folders appear, timelines are created, tools are suggested, and more. It’s not rendering 3D, just showing how an AI-powered interface can help manage a creative workflow.”

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MVP Scope:

Only include the Ideation, Project Setup, and Project Management phases.

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Structure:

A. UI Layout (Simple Web App) • Left Panel: Chat with AI assistant (LLM) • Right Panel: Dynamic visual panel with: • Project summary (text + tags) • Folder structure (mocked tree) • Timeline chart (mocked Gantt-style) • Tool list (icons with toggle) • Team member list (text bubbles)

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B. Demo Flow with VO and Prompts

Step User Says (Prompt) LLM Responds Visual Panel Shows Voice-over Explains 1 “I want to create a 3D robot for a sci-fi game.” “Sounds good! Let’s set it up. Is this for a game, VR, or film?” Adds “Concept: 3D robot” and “Genre: Sci-fi” tags to top of project summary. “First, we describe our idea — the AI understands the domain and tags the project automatically.” 2 “It’s for a game. Let’s use Blender.” “Blender is a great choice. I’ve added it to your tools.” Shows Blender icon in tool list and toggles it “on”. “The AI recognizes keywords like Blender and activates it in our tools list.” 3 “The timeline is 2 months. First week for modeling, then textures, then animation…” “Okay, I’ll break it down into 1-week phases. Anything else?” Timeline appears with 6 weeks broken into labeled blocks: modeling, textures, animation, etc. “The assistant builds a simple timeline based on your speech or text — this can be Gantt-style.” 4 “I have a manager and another artist helping me.” “Got it. Added your teammates to the dashboard.” Shows two avatar bubbles: “Manager” and “Artist” under “Team”. “You can assign team members just by mentioning them — great for quick onboarding.” 5 “Can you compare Blender with Maya and ZBrush?” “Here’s a simple comparison table between Blender, Maya, and ZBrush.” Comparison table appears with tool icons, features, and pricing side-by-side. “The AI can also help you choose tools by generating a simple comparison based on your request.” 6 “Please save the project.” “All done! I’ve saved the project and backed it up to the cloud.” Displays confirmation and version dropdown (v1.0). “When you’re ready, just say ‘save’ and the AI saves the state and creates version history.”

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C. Backend Prompt Strategy

Each prompt is sent to an LLM API (Claude/OpenAI/Groq), but you don’t need full parsing logic. Just detect trigger phrases like:

Trigger Phrase UI Action “sci-fi robot” Add tag “Blender / Maya / ZBrush” Add or compare tools “timeline” + duration Show Gantt blocks “manager / artist” Add avatars to team “save” Show save animation/version

You can also mock the LLM response for the demo if you don’t want real API latency.

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D. Voice-over Script Sample (1-min)

“Let’s say I want to build a 3D robot for a sci-fi game. I just tell the AI what I want — and it tags the project for me. I say I want to use Blender, and boom, Blender is added to my toolset. I mention that the project will take 2 months — and the timeline automatically populates based on my milestones. I say my teammate and manager are helping — they’re now added to the team list. If I’m unsure about tools, I can ask the AI to compare them, and it gives me a quick visual table. Finally, I say ‘Save the project’ and it backs up everything with versioning. All of this — without clicking a single button.”

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E. Stretch Feature (if you have time) • Add voice input using the Web Speech API (window.SpeechRecognition) • Simulate LLM personality with humorous or helpful text responses • Allow drag/drop rearrangement of timeline blocks

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Would you like me to help: 1. Write the HTML/CSS/JS boilerplate for this? 2. Create a Figma mockup of the layout? 3. Script the LLM prompt-response demo JSON?

Let me know how you want to proceed!