Návrh a hodnocení LLM multi-agentního systému jako nástroje Competitive Intelligence

The thesis explores the possibilities of implementing an LLM-based multi-agent system for the purposes of Competitive Intelligence and its benchmarking. The objective is to present a system of autonomous agents capable of leveraging external data sources, analyzing key indicators, monitoring changes in the competitive environment, and providing strategic recommendations useful for company management. Furthermore, the thesis focuses on designing an evaluation methodology that enables the objective assessment and comparison of different implementations of such systems for Competitive Intelligence purposes. The work combines a theoretical description of Competitive Intelligence principles and AI agent architectures (multi-agent systems based on LLM agents), a practical demonstration of their deployment (using frameworks such as CrewAI, AutoGen, and LangGraph), and a benchmark evaluating their ability to support Competitive Intelligence.