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As software developers, we're constantly pushing the boundaries of what automation can achieve. While connecting a couple of applications with basic triggers is straightforward, constructing AI-powered workflows that
Walnut has launched an enterprise AI agent platform, including AI Mode for Playlists and Deal Rooms and Walnut Xpert, to personalize B2B buyer experiences. The platform leverages product capture technology to create interactive demos and deal rooms, drastically reducing seller effort and providing deeper buyer insights. This move aims to make personalized B2B engagements scalable and buyer-centric.
MCP (Model Context Protocol) is a new standard that acts as a standardized bridge, enabling secure and efficient connections between large language models (LLMs) and external, private enterprise data sources. It addresses the complexity of traditional API integrations by standardizing data formats for AI, making agentic workflows more scalable and effective. MCP ensures LLMs have the crucial internal context needed for practical enterprise applications.
As AI systems become more autonomous, traditional step-by-step governance creates fragile architectures. This article explores 'fast paths' and 'slow paths' as a solution, enabling scalable autonomy by regulating behavior through continuous observation and selective, feedback-driven intervention, rather than synchronous approval for every action.
Treasure Data's "Treasure Code" was built in just 60 minutes by one engineer, showcasing the potential of AI-native development. This rapid creation was underpinned by a robust governance system that prioritized platform-level access controls and a three-tier quality pipeline, setting a precedent for safe and scalable AI-generated code in production.
