The Mole World
An AI-powered animated short film built from scratch by one engineer. From screenplay to screen — ML pipeline, voice acting, and production suite.
The Vision
One person. Zero budget. Full animated film.
What if a solo engineer could build an entire animated short film using AI? The Mole World is a dystopian narrative set in underground tunnels where humans are controlled via neural implants. Protagonists Anaya and Deepak discover each other and spark a rebellion. Chapter 1 covers the opening 2–5 minutes.
14
Scenes
25
Shots
6
Characters
2–5 min
Runtime
Prompt Engineering
Crafting the cinematic language for AI
Each of the 89 shots required carefully engineered prompts that balance visual fidelity, narrative coherence, and character consistency. A style prefix system ensures uniform cinematic quality across every frame, while emotion-driven descriptions guide the AI toward the intended mood.
89
Unique Prompts
12 tokens
Prefix Length
3–5x / shot
Iterations
Style Lock
Consistency
GPU / ML Engineering
Enterprise-grade inference infrastructure
Running WanVideo 2.1 (14 billion parameters) on a local RTX 4090 with 16GB VRAM. Built a custom ComfyUI pipeline for automated batch generation, queue management, and fault recovery. Each clip renders in ~34 minutes at full VRAM utilization.
RTX 4090
GPU
14B params
Model
~34 min
Per Clip
19.8 hrs
Total GPU
Dual Model Architecture
V1 for speed. V2 for quality. Both for comparison.
A two-pass rendering strategy: V1 Standard generates all 25 shots quickly for editorial review, while V2 Enhanced re-renders each shot with higher quality settings. This enables side-by-side comparison and iterative refinement without blocking the production pipeline.
25 / 25
V1 Clips
9 / 25
V2 Clips
36.8 min
V1 Avg
34.4 min
V2 Avg
Voice & Narration
AI-generated voice acting pipeline
All 89 narrations generated through a custom TTS pipeline with multiple voice profiles. Each character has a dedicated voice actor profile with reference audio for consistent tone. The system supports emotional range mapping and scene-appropriate delivery.
89
Narrations
6
Voice Profiles
76.6 MB
Audio Size
WAV/MP3
Format
Production Dashboard
Real-time production intelligence
Built a comprehensive production dashboard through 43+ iterative feature batches. Started as a single HTML file (15,000+ lines) with glass-morphism UI, then migrated to Next.js + TypeScript for portfolio deployment. Live pipeline monitoring, clip management, render analytics, and storyboard visualization.
43+
Feature Batches
15K+
Lines of Code
8
Pages
Next.js
Stack
The Outcome
From concept to production in one sprint
A complete AI film production pipeline — from screenplay to rendered clips to narrated audio to editing suite — built by one person. The system demonstrates end-to-end ML engineering, prompt engineering, infrastructure management, and full-stack development. Ready for chapters 2–7.
End-to-End
Pipeline
1 person
Team Size
$0
Budget
Ch. 2–7
Next
Technical Skills Demonstrated
Built by Deep Chand
Solo founder & engineer. Turning bleeding-edge AI into production-grade products.