PreVis.ai

Inspiration Traditional filmmaking requires massive budgets, complex storyboard pipelines, and weeks of pre-visualization before a single camera rolls. We wanted to democratize the cinematic pre-production process by giving directors, animators, and indie creators an autonomous AI agent capable of generating, refining, and sequencing visual concepts in real time.

What it does PreVis.ai acts as an intelligent AI co-director for visual pre-production. Users input raw script concepts, scene descriptions, or visual directions, and PreVis.ai automatically:

Generates high-fidelity scene storyboards and keyframes matching specific camera angles, lighting, and art styles.

Formats camera shot lists, lens specifications, and movement paths for cinematic execution.

Maintains character and stylistic consistency across multiple generated scenes.

Constructs rapid animatics to help creators preview pacing and narrative flow before entering production.

How we built it Agentic Framework: Orchestrated autonomous AI agents to parse script narrative beats into structured visual prompts and camera directions.

Generative AI Core: Integrated state-of-the-art image and video synthesis models tailored for consistent character design, lighting control, and spatial layout.

Frontend Interface: Built a responsive, interactive UI allowing creators to drag, drop, edit, and re-sequence scenes dynamically.

Backend Pipeline: Built using modern serverless API endpoints to handle async asset rendering, prompt tuning, and real-time visual output streaming.

Challenges we ran into Style & Character Consistency: Ensuring characters and environments remained visually identical across different camera angles and shot compositions required precise latent state prompting and image-to-image guidance.

Cinematic Terminology Precision: Training the agentic parser to accurately translate cinematic shorthand (e.g., "dolly zoom," "low-angle tracking," "chiaroscuro lighting") into accurate visual generation parameters.

Latency Management: Rendering high-quality pre-vis assets in near real-time so creators could iterate fluidly without breaking creative momentum.

Accomplishments that we're proud of Seamlessly bridging the gap between raw text ideas and cohesive visual storyboards within seconds.

Establishing rock-solid multi-shot character and stylistic continuity across generated scene sequences.

Crafting an intuitive user experience that feels like collaborating directly with a veteran director of photography.

What we learned Multi-agent architectures significantly outperform single-prompt setups when breaking down complex, multi-step creative workflows like storyboarding.

Small UI adjustments in visual feedback (like real-time shot-list generation) dramatically increase user trust in autonomous generative workflows.

What's next for PreVis.ai 3D Scene Reconstruction: Converting 2D storyboard frames into interactive 3D camera environments for full spatial control.

Voice & Dialogue Integration: Adding temporal audio alignment, AI voiceover generation, and automatic lip-syncing for full animatic previews.

Collaborative Editing: Enabling multi-user real-time rooms so directing teams and production designers can collaborate simultaneously.

Built With

• ai
• antigravity
• gemini
• replit