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This comprehensive guide explores how artificial intelligence is transforming mechanical engineering workflows and product development processes. From general AI platforms like ChatGPT to specialized engineering solutions, we examine the current landscape of AI tools available to mechanical engineers. The article highlights three core components of engineering AI: intelligent automation, data-driven insights, and seamless integration. We dive deep into market solutions including collaboration platforms, generative design tools, and simulation AI, with special focus on bananaz - an AI copilot that integrates directly into CAD and PDM systems. The guide covers implementation strategies, future trends, and practical benefits like 90% faster revision cycles and proactive error prevention. Whether you're looking to automate design validation, accelerate reviews, or gain intelligent engineering insights, this guide provides the roadmap for successfully implementing AI in mechanical engineering workflows.