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Do we still need to build custom AI agents? Discover how Skills enable AI assistants like Claude to execute complex, multi-step tasks without a separately built agent—and learn when a Skill is enough, when an agent makes sense, and how to choose the right approach for your AI automation.. Learn more inside.
For platform engineering and infrastructure teams, AI components must be architected as modular services, not a monolithic solution. This guide demystifies the AI stack, defining the distinct roles of LLMs (Reasoning Engine), Agents (Orchestration Runtime), Skills (Deterministic Guardrails), and MCP (Protocol Layer) in modern automation tools. Learn more inside.
Explore the key differences between Generative AI and Agentic AI, their real-world applications in sectors like government and healthcare, and why the future of AI focuses on autonomy as much as intelligence. Learn more inside.