Why GenAI Apps Could Fail Without Agentic Frameworks

Did you ever feel like working with AI frameworks is like having a conversation with a boring husband (as per 99.99% wives) who only answers when asked but never takes the initiative?  In one of my previous blogs, we discussed LangChain, which opened up the possibility of chaining together different AI models and tools. But here’s the catch: LangChain and similar frameworks are fundamentally reactive. They answer questions, process inputs, and carry out predefined steps, but they don’t exactly “think” for themselves or solve complex workflows automatically. This is where the need for agentic frameworks arises.