AI agents have grown fast—from basic text models to systems that can reason, use tools, and make decisions. And this is just the start amzn.to/467j1YA Here’s the journey so far: ✅ Basic LLMs: Input → output. Just text predictions. ✅ Document-aware LLMs: Handle structured docs, not just plain text. ✅ AI + RAG + Tools: Retrieval + external tools = real-time knowledge. ✅ Multi-modal agents: Work with text, images, audio, memory, and workflows. ✅ Advanced agent designs: Add short-term & long-term memory, decision-making, deeper reasoning. ✅ Future agents: Fully autonomous systems with real-time data, ethics, collaboration, and dynamic task allocation. So AI isn’t just “smart chatbots” anymore it’s becoming an ecosystem of agents that can learn, reason, and act on their own. The real question is: how will businesses, developers, and society adapt? 👉 What do you think will be the next big leap in AI agents?