This post was co-authored with Rafael Guedes.
The rise of generative AI is the brand new platform shift of the digital era. It solves problems starting from automation in large enterprises to numerous sorts of R&D and creativity. The worldwide market is projected to surpass $65 billion in 2024, and 86% of IT leaders anticipate large organizational changes [1]. To this point, the largest returns are from chatbots (the more generic and abundant use case), code copilots, and enterprise search.
Investment continues to flow into AI, with $13.8 billion invested in 2024 (a sixfold increase from 2023) [1]. Besides, businesses are embedding AI into their core strategies and systems. Technologies like retrieval-augmented generation (RAG), fine-tuning, and specialized models for vertical applications (e.g., healthcare, legal) have gotten mainstream.
Large Language Models (LLMs) have brought attention to AI (in several ways) and opened the door to recent ways of solving old problems. This recent way is thru Agentic AI — a framework where autonomous agents work collaboratively to execute complex, multi-step workflows.
Our demo shows how you may work and develop a multi-agent system. It integrates three specialized agents:
- A web researcher agent…
