In the early days of large language models, building an “AI application” often meant little more than crafting the right prompt. We would pass a question to the model, get an answer back, and hope for the best. But as ambitions grew—from answering a query to autonomously planning, executing, and adapting in real-world environments—something became clear: we needed more than a clever prompt; we needed an entire toolchain.