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High signal-to-noise generative AI coverage for enterprise leaders, engineers, consumers, and policymakers. Technical articles and curated news, all from practitioners.
AI news filtered for signal, curated weekly for enterprise executives, engineers, consumers, and policymakers. Each story is framed for your world.
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Technical breakdowns of the concepts, architectures, and best practices behind today's generative AI solutions, from enterprise platforms to individual tools.
When millions of users share similar prompts, smart caching and routing eliminate redundant computation. How shared system prompt caching, sticky session routing, and prefill/decode splitting work behind the scenes.
A plain-English walkthrough of Retrieval-Augmented Generation: why LLMs need external knowledge, how documents get chunked, embedded, and retrieved, and why RAG is the foundation every production AI system is built on today.
Model Context Protocol (MCP) is emerging as the standard way AI models interact with tools and data sources. But how is it different from REST APIs and function calling? A side-by-side comparison of architecture, capability discovery, and why a protocol layer matters for agentic AI.
Single-agent systems hit a ceiling. Multi-agent architectures, where specialized agents delegate, collaborate, and coordinate, are how complex AI workflows actually get built. Orchestration patterns, communication models, and the architecture decisions that matter.