Design and implement the architecture of a multi-agent video editing system including agents responsible for:
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production and output synthesis
Define system prompts, behavioral rules, and structured instructions for agents interacting within the pipeline.
Pipeline Orchestration (n8n)
Develop and maintain complex orchestration pipelines in n8n, including:
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dynamic routing between tools and models
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context passing between agents
Pipelines must be capable of selecting the most appropriate models, tools, and strategies depending on the task.
Multimodal Data Processing
Design robust pipelines for handling:
Ensure proper data transformation and context transfer across the pipeline stages.
Integrate both external and internal APIs for multimodal generation and processing, including:
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video processing services
Rapidly evaluate available APIs and select the best quality tools and models for each task.
Model Orchestration & Optimization
Tune and optimize model interactions, primarily based on Gemini models, including:
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agent collaboration logic
Optimize pipelines for quality, reliability, and execution efficiency.
Future Architecture (RAG & Knowledge Systems)
Design systems that support:
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retrieval-augmented generation (RAG)
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memory and contextual reasoning between agents
The pipeline system should be capable of:
1.
Taking an idea + references as input
3.
Generating a coherent narrative structure
4.
Selecting appropriate visual and audio elements
5.
Producing a high-quality, structured video output