AI Agentic Media Mastering System
Orchestrates ten specialized AI agents that collaboratively plan, execute, validate, and deliver mastered content across all territories and platforms simultaneously. Features human-in-the-loop approval gates, comprehensive observability, GenAI content intelligence, and self-healing capabilities for autonomous issue resolution.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Project Configuration: Multi-territory mastering setup showing source content specifications, target territories with censorship requirements, delivery platform configuration, and workflow estimation
AI Planning Interface: Strategic planner showing chain-of-thought reasoning, task decomposition across specialized agents, and dependency graph for parallel encoding workflow optimization
Execution Command Center: Live monitoring dashboard displaying agent execution status, deliverable progress across territories, distributed traces, Prometheus metrics, and system resource utilization
Workflow Completion Summary: Executive report showing deliverables created across territories, AI operations performance, cost savings analysis, and detailed deliverable manifest with QC status
AI Agents
Specialized autonomous agents working in coordination
Master Orchestrator
Mastering workflows involve complex dependencies between encoding, validation, and delivery tasks that must be coordinated across multiple specialized agents while respecting resource constraints and deadlines.
Core Logic
Manages the task queue, assigns agents to jobs based on capability and availability, tracks workflow state, emits domain events for observability, and coordinates handoffs between agents. Monitors execution metrics and triggers human-in-the-loop approval gates at critical decision points.
Strategic Planner
Complex multi-territory releases require intelligent task decomposition that optimizes for parallel execution while respecting dependencies between compliance checking, encoding, and delivery.
Core Logic
Analyzes project requirements, builds dependency graphs, estimates resource needs and costs, and generates optimized execution timelines. Identifies opportunities for shared base encodes across territories with identical requirements to reduce processing time.
DCP Format Agent
Digital Cinema Package creation requires precise JPEG 2000 encoding, MXF packaging, and compliance with theatrical distribution specifications that vary by cinema chain and territory.
Core Logic
Executes DCP encoding workflows using specialized tools for JPEG 2000 compression, MXF container packaging, and checksum generation. Validates output against DCI specifications and manages delivery to theatrical distribution networks.
IMF Format Agent
Streaming platforms require Interoperable Master Format packages with specific codec requirements (H.265 HDR10/HDR10+), audio configurations, and metadata that differ by platform.
Core Logic
Creates IMF packages optimized for each streaming platform (Netflix, Amazon, Disney+) with appropriate codec settings, HDR grading, and audio format compliance. Manages version control across territory variants and handles supplemental package creation.
QC Validator
Quality control for video content requires analyzing multiple quality dimensions including video fidelity (VMAF), audio sync, metadata compliance, and format specification adherence.
Core Logic
Executes comprehensive QC validation including VMAF quality scoring, audio level analysis, metadata validation, and format compliance checking. Generates detailed QC reports with frame-accurate issue locations and severity classifications.
Compliance Agent
Global releases must comply with territory-specific censorship requirements, content ratings, and regulatory frameworks that vary significantly across markets like China, UAE, Germany, and India.
Core Logic
Maintains comprehensive rule databases for each territory's regulatory requirements. Scans content for compliance issues, generates Edit Decision Lists (EDLs) for required cuts, verifies rating classifications, and ensures all territorial versions meet local standards before distribution.
Content Intelligence Agent
Manual content analysis for scene detection, brand safety, and content classification is time-consuming and inconsistent, leading to compliance risks and missed optimization opportunities.
Core Logic
Uses GenAI-powered multimodal analysis to detect scene boundaries, recognize objects and faces, analyze sentiment, evaluate brand safety, and classify content automatically. Provides pre-validation insights that reduce downstream QC failures.
AI Localization Agent
Creating localized audio tracks (dubbing) and subtitles at scale requires coordinating translation, voice synthesis, and timing alignment across dozens of languages simultaneously.
Core Logic
Orchestrates neural machine translation, AI voice cloning for dubbing, lip-sync alignment, and subtitle generation. Integrates with the Linguistic QA pipeline for quality assurance and supports human review workflows for final approval.
DAI & FAST Agent
FAST (Free Ad-Supported Streaming TV) channels require automated scheduling, SCTE-35 ad marker insertion, and real-time audience targeting that traditional workflows cannot provide.
Core Logic
Detects optimal ad insertion points using content analysis, generates FAST channel schedules, inserts SCTE-35 markers for dynamic ad insertion, and integrates with ad targeting engines for audience-specific monetization.
Edge & 5G Optimizer
Global content delivery requires intelligent CDN optimization, adaptive bitrate tuning, and 5G network slice allocation to ensure quality viewing experiences across diverse network conditions.
Core Logic
Optimizes CDN distribution patterns, tunes ABR ladder settings for different network conditions, finds lowest-latency delivery routes, and allocates 5G network slices for priority streaming. Monitors edge node health and triggers failover when degradation is detected.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization