Multi-Agent Systems
Explore how Multi-Agent Systems work together to solve complex problems through collaboration and orchestration.
Report Creation Pipeline
A team of specialized agents working together to create reports through sequential collaboration. Each agent is configured with: • Its own specific LLM (the suitable model per agent; price/quality/speed trade-offs) • Custom set of tools relevant to its task • Unique system prompt defining its role and expertise In this example: • Research Agent - Configured to gather and validate information • Content Creator - Specialized in writing and structuring content • Summariser - Expert at distilling complex information All agents share access to the knowledge base but each brings its own expertise and toolset to the workflow. Example Use Case: "Create a market analysis report for electric vehicles in Europe" 1. Research Agent collects market data, sales figures, and industry trends 2. Content Creator transforms data into structured insights and market projections 3. Summariser creates executive brief with key findings and recommendations