Imagine a world where AI can negotiate deals, design complex systems, and navigate intricate scenarios with a strategic prowess rivaling human experts. This isn't science fiction; it's the promise of STRIDE, a groundbreaking framework that empowers Large Language Models (LLMs) to become true strategic decision-makers. LLMs like GPT-4 possess impressive language skills, but they often stumble when faced with strategic challenges. They struggle with complex calculations, long-term planning, and anticipating the moves of others. STRIDE tackles these limitations head-on. It equips LLMs with a powerful toolkit and a working memory, enabling them to break down complex problems into manageable steps. Think of it as giving an LLM a toolbox filled with specialized instruments for strategic thinking. These tools handle the nitty-gritty calculations, freeing up the LLM to focus on the big picture. The working memory acts like a scratchpad, allowing the LLM to keep track of important information and learn from past experiences. Researchers tested STRIDE in various scenarios, including negotiating deals, designing dynamic systems, and even playing games like Tic-Tac-Toe and Connect-N. The results were remarkable. STRIDE consistently outperformed other LLM agents, demonstrating its ability to make smart, strategic decisions in complex environments. STRIDE isn't just a theoretical breakthrough; it has real-world implications. Imagine AI agents negotiating contracts, managing resources, or even designing personalized educational plans. While STRIDE represents a significant leap forward, the journey doesn't end here. Researchers are already exploring ways to make STRIDE even more powerful, including training specialized models for specific tasks and automating the creation of new tools. The future of strategic AI is bright, and STRIDE is leading the charge.