Inspiration
The inspiration struck during a brutal AI filmmaking competition where I discovered the harsh reality of AI video production. While Veo 3.1 is undeniably the best video generation model available, it demands something that seemed impossible to achieve: perfectly consistent keyframes with precise visual control.
I spent countless hours battling every image generation platform - Freepik, Seedream 4K, Imagen, nANobanana - desperately trying to create start and end frames that would maintain visual consistency across 8-second video segments. Nothing worked. Every model gave me beautiful images, but they were inconsistent. Characters changed appearance, lighting shifted randomly, and camera angles jumped unpredictably. I even tried structured JSON prompts (laughably primitive compared to what I know now), but still ended up compromising my creative vision.
The breaking point came when I realized I was spending 80% of my time fighting with keyframe generation and only 20% actually creating. That's when I discovered FIBO's revolutionary structured prompting approach and had my "eureka moment" - what if I could build an intelligent system that thinks like a film crew but uses FIBO's precision?
With AI video production exploding and Veo leading the charge, I knew this problem would only get worse. Every creator would face the same frustration I did. That's when CineAI Director was born.
What it does
CineAI Director is the world's first agentic AI video production system that transforms movie scripts into production-ready video segments with pixel-perfect consistency. Think of it as having a virtual film crew that never gets tired, never makes mistakes, and always maintains your creative vision.
The system deploys three specialized AI agents:
🎬 Editor Agent - Analyzes script structure, dialogue density, and pacing to automatically segment scripts into optimal 8-second video chunks. It understands narrative flow and creates logical breakpoints that respect story beats.
🎥 Cinematographer Agent - The consistency guardian. Defines and maintains static visual parameters (lighting style, color palette, camera settings, environment theme) across ALL segments to prevent "AI flickering" - the bane of AI video production.
🎯 Action Director Agent - Creates detailed FIBO structured JSON prompts for start and end frames of each segment. Ensures visual continuity between segments while describing precise camera movements, character positioning, and scene transitions.
The magic happens through collaborative intelligence: Agents share production context through structured tools, building upon each other's work to create a cohesive production plan. The output is a complete JSON file with FIBO-ready prompts for every keyframe, optimized specifically for Veo 3.1 and other AI video models.
Real-world impact: Upload a script, get back production-ready video segments with consistent characters, lighting, and visual style - solving the exact problem that made me want to quit AI filmmaking.
How we built it
We built CineAI Director using cutting-edge agentic architecture that mirrors how real film crews collaborate:
Core Agentic Framework Strands Agent SDK: Multi-agent orchestration with tool-based collaboration Amazon Bedrock AgentCore: Enterprise-grade deployment and scaling Gemini 2.5 Flash: Powers all three specialized agents Shared State Management: Agents communicate through structured @tool decorators Agent Architecture Deep Dive Editor Agent Tools:
@tool def analyze_script_structure(script_text: str) -> str: # Analyzes dialogue/action density, estimates timing # Returns recommended segment count for 8-second chunks
@tool
def split_into_segments(script_text: str, num_segments: int) -> str:
# Creates logical segment boundaries with continuity flags
Cinematographer Agent Tools:
@tool def define_visual_style(scene_context: str, mood: str) -> str: # Establishes consistent lighting, color palette, camera style # Prevents visual inconsistencies across segments Action Director Agent Tools:
@tool def create_fibo_frame_prompt(frame_type: str, scene_description: str, visual_style: str, objects_description: str) -> str: # Generates production-ready FIBO structured JSON prompts # Maintains visual continuity between segments Production Infrastructure AWS AgentCore Runtime: Scalable deployment with Lambda functions FAL.ai Integration: FIBO frame generation with S3 caching React Frontend: Professional interface for script upload and checkpoint management CDK Infrastructure: Complete AWS deployment automation FIBO Integration Excellence Every generated prompt follows FIBO's structured JSON schema with precise control over:
Object positioning and appearance details Lighting and photographic characteristics Color schemes and mood atmosphere Camera angles and composition rules Background settings and environmental context Challenges we ran into Agent Coordination Complexity Creating three agents that work together without stepping on each other was like conducting an orchestra. Each agent needed clear responsibilities while sharing critical production context. We solved this through structured tool communication and shared state management.
FIBO Prompt Engineering at Scale Translating abstract script descriptions into precise FIBO structured prompts required deep understanding of both cinematic language and FIBO's JSON schema. We built sophisticated prompt templates that maintain consistency while allowing creative flexibility.
Visual Continuity Across Segments The biggest technical challenge: ensuring that segment 3's start frame perfectly matches segment 2's end frame. We implemented continuation flags and visual consistency checks that the Cinematographer Agent enforces across all segments.
AgentCore Integration Complexity Adapting our Strands multi-agent system to work within Bedrock AgentCore's runtime constraints required careful architecture decisions. We had to balance agent autonomy with system reliability.
Performance Optimization With multiple agents generating detailed prompts, we needed smart caching. We implemented S3-based frame caching that dramatically reduces redundant FIBO API calls while maintaining quality.
Real-World Script Variability Scripts come in countless formats and styles. Building agents robust enough to handle everything from tight dialogue scenes to epic action sequences required extensive testing and fallback mechanisms.
Accomplishments that we're proud of
🏆 First Agentic Video Production System We created the world's first multi-agent AI system specifically designed for video pre-production workflows. This isn't just a tool - it's a new category of creative software.
🎯 Solved the Keyframe Consistency Crisis We eliminated the #1 pain point in AI video production. No more hours spent manually iterating keyframes. No more compromising creative vision due to technical limitations.
🚀 Production-Grade Architecture Built with enterprise deployment from day one using AWS AgentCore. This system can scale to serve professional studios and individual creators alike.
🎬 Intelligent Agent Collaboration Our agents don't just process data - they collaborate like a real film crew. The Editor understands pacing, the Cinematographer maintains visual consistency, and the Action Director creates precise shot descriptions.
⚡ FIBO Integration Mastery We pushed FIBO's structured prompting to its limits, creating the most sophisticated FIBO integration for video production. Every prompt is production-ready and optimized for visual consistency.
📊 Measurable Impact Time Reduction: 6+ hours → 15 minutes for video pre-production Quality Improvement: Eliminates visual inconsistencies that plague AI video Cost Savings: Reduces iteration cycles by 90% Creative Freedom: Enables focus on storytelling instead of technical struggles What we learned Agentic Design Patterns Building effective multi-agent systems requires clear role separation, structured communication protocols, and shared context management. Each agent must be an expert in its domain while contributing to the collective goal.
FIBO's True Power FIBO isn't just another image model - it's a precision instrument for visual control. Its structured JSON approach enables consistency that's impossible with traditional prompting, making it perfect for video production workflows.
Video Production Complexity AI video generation has hidden complexities that only surface at scale. Visual continuity, timing precision, and style consistency are harder problems than they initially appear.
Enterprise AI Architecture Deploying agentic systems in production requires careful consideration of reliability, scalability, and cost optimization. AgentCore provides the infrastructure, but the architecture must be designed for it.
User Experience in AI Tools Professional creators need tools that enhance their workflow, not replace their creativity. The best AI tools amplify human vision rather than constraining it.
The Importance of Real Problems Building from personal pain points creates better products. My frustration in that filmmaking competition led to insights that wouldn't have emerged from theoretical problem-solving.
What's next for CineAI Director
🎭 Advanced Agent Specialization Sound Director Agent: Generates audio cues and music recommendations for each segment VFX Coordinator Agent: Identifies and plans special effects requirements Continuity Supervisor Agent: Ensures props, costumes, and set details remain consistent Casting Director Agent: Maintains character appearance consistency across segments 🌐 Multi-Model Video Ecosystem Runway ML Integration: Optimized prompts for Runway's video generation Pika Labs Support: Agent-specific prompt formatting for Pika's style Sora Preparation: Ready for OpenAI's Sora when it becomes available Custom Model Adapters: Extensible framework for new video generation models 🤝 Real-Time Collaboration Human-AI Co-Creation: Directors can collaborate with agents in real-time Multi-User Sessions: Teams can work together on productions with AI assistance Version Control: Track changes and iterations across agent recommendations Approval Workflows: Professional review and approval processes 🧠 Agent Learning & Evolution Production Analytics: Agents learn from successful video outputs Style Transfer: Agents can learn and replicate specific directorial styles Feedback Loops: Continuous improvement based on user preferences Genre Specialization: Agents that specialize in horror, comedy, action, etc. 🏢 Enterprise & Integration Professional Tool Integration: Direct integration with Avid, Premiere, Final Cut Studio Pipeline Integration: Connect with existing production management systems API Marketplace: Third-party developers can build on our agentic platform White-Label Solutions: Studios can deploy their own branded versions 🎨 Creative Intelligence Story Arc Analysis: Agents that understand narrative structure and pacing Emotional Intelligence: Agents that optimize for emotional impact Cultural Adaptation: Agents that adapt content for different markets Accessibility Features: Automatic generation of audio descriptions and captions The vision: Transform CineAI Director from a pre-production tool into a complete AI film crew that can handle every aspect of video production while maintaining the human creative vision at its core. We're not replacing filmmakers - we're giving them superpowers.
Log in or sign up for Devpost to join the conversation.