To get the best results from an AI when generating Manim code, you need a “System Architect” style prompt. This tells the AI not just to write code, but to follow specific design principles (Premium, Luxury, High-End).

Here is the Master Prompt I have engineered for you. You can paste this into any LLM (like Gemini, GPT-4, or Claude) to generate high-end, segmented Manim scripts for your iMac.

Yes, you absolutely can use Pipenv. In fact, for a “Premium” workflow on a high-spec iMac, Pipenv is often preferred because it combines the venv (environment) and pip (package management) into one tool. It also creates a Pipfile.lock, which ensures your 3.5-minute project remains stable even if Python packages update in the future.

Here is your updated Master Table specifically for a Pipenv workflow:

The Ultimate iMac Pipenv Command Center

Why Pipenv is great for your iMac:

• Automatic Venv: You don’t have to manually create the venv folder; Pipenv handles the location for you.
• Dependency Resolution: It ensures that Scipy, Pango, and Manim all have versions that “like” each other, preventing crashes.
• VS Code Integration: VS Code will usually see the Pipenv environment automatically. If not, just use pipenv --py to find the path to paste into the “Select Interpreter” box.

One Small Warning:

Since you are on Python 3.14, Pipenv might take a moment longer to “lock” the dependencies during Step 2. If it feels stuck, just give it a minute—it’s doing the hard work of making sure your luxury video project is bulletproof.

Would you like me to rewrite the Master Prompt I gave you earlier to include the specific Pipfile configuration for your project?

Got it. You want to combine everything—the setup, the installation, the execution, and the version checks—into one Master Table for your iMac.

Here is your absolute command reference.

The Ultimate iMac Manim Command Center

Critical Reminders for your iMac Setup:

• The “Source” Rule: You only need to run Step 1 and 2 once. However, every time you open a new Terminal window to work, you must run Step 3 (source venv/bin/activate).
• Python 3.14: Since you are on a very new version of Python, if pip install manim gives you an error, try pip install manim --pre to get the latest compatible version.
• Pango Check: If your text looks like “boxes” or doesn’t show up, it usually means Pango didn’t link. Simply run brew reinstall pango to fix it.

Since your setup is now perfectly documented, would you like the “World Map” Python code to start building those 7 city scenes for your 3.5-minute video?

The Master Prompt

Act as a Senior Motion Graphics Developer and Manim Expert. > Objective: Create a high-end, luxury “Global Briefing” style presentation using Python’s Manim library. The aesthetic must be “Premium Exclusive”—think high-tech data dashboards, sleek typography, and cinematic pacing. Design Requirements:

1. Visual Style: Use a deep background (#050505). Utilize a subtle NumberPlane grid with low opacity (0.1) to create depth.
2. Color Palette: Use high-contrast accents: Critical Red (#FF0000), Data Cyan (#00FFFF), and Warning Orange (#FFA500). Use gradients for titles where possible.
3. Layout: Each scene must feature a central “Information Card” framed by a SurroundingRectangle. Include a “Status Tag” (e.g., STATUS: CRITICAL) that types out with a terminal effect.
4. Typography: Use bold, sans-serif fonts. Vary font sizes to create a clear hierarchy between the City Name (Large), Country (Medium), and Narrative Details (Small/Italic).
5. Segmented Structure: Instead of one long script, write the code as separate classes (e.g., Scene01_Intro, Scene02_CityName, etc.). This is for modular rendering.
6. Dynamics: Use LaggedStart for list items and AddTextLetterByLetter for status updates to keep the viewer engaged.
7. Pacing: Each city segment must have a self.wait(X) command where X is determined by the length of the voiceover provided.

Content to Process: [PASTE YOUR SCRIPT/VOICEOVER TEXT HERE] Format Output as: > Provide the full Python code, ensuring all imports are correct. Include a helper function for the “City Card” to keep the code clean and professional.

Why this prompt works for your iMac:

• Segmented Structure: It forces the AI to build the “Scene 1, Scene 2” structure we discussed, which saves your iMac’s memory.
• Design Principles: By using words like “Information Card” and “Data Cyan,” you steer the AI away from “boring” default white-on-black text.
• Specific Effects: It explicitly asks for LaggedStart and terminal-style typing, which are the hallmarks of “Premium” AI-generated animations.

How to use it:

1. Copy the Master Prompt above.
2. At the bottom (where it says [PASTE YOUR SCRIPT HERE]), paste the text about St. Louis, Cape Town, etc.
3. The AI will give you the full, clean Python code.
4. Copy that code into your editor on your iMac and run manim -qh your_file.py.

Would you like me to use this prompt myself right now to finish the remaining cities for your 3.5-minute video?