Introduction Imagine an AI agent tasked with a complex research question: “Analyze the impact of quantum computing on financial cryptography and prepare a comprehensive briefing.” A traditional ReAct agent might meander through dozens of reasoning steps, calling tools repeatedly, each step requiring an expensive LLM call. The process is slow, costly, and difficult to audit. Now imagine…
Introduction Artificial Intelligence has rapidly moved from experimentation to real-world production systems. Modern AI agents—whether chatbots, recommendation engines, or autonomous decision systems—must be reliable, scalable, and continuously improving. However, deploying AI is fundamentally different from deploying traditional software. AI systems depend not only on code but also on data, models, and increasingly, prompts. This introduces…
Introduction You have interacted with a chatbot. Maybe it was on a banking website, helping you reset your password. Maybe it was a customer service bot, answering questions about your order. You have also heard about AI agents—autonomous systems that can book meetings, write code, or manage complex workflows. They sound similar. They both use…