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Model Context Protocol (MCP) allows users to bring tools and context to desktop AI clients. What about web clients?
Enterprise have AI applications that run on all their data. What about consumers?
Supercharge search with personalized re-ranking that adapts to user context without needing to be told.
The case for AI-native auth with flexible purpose- and time-limited scopes on context.
Expanding the app context window with serverless, user-owned context and AI. Introducing our personalized inference provider for Vercel's AI SDK.
Previewing Crosshatch Webhooks, extending our API to enable any service to take proactive action based on complete user context.
The personalized internet needs a new data layer made from aggregating the aggregators. What Aggregation Theory predicts comes next.
Fat protocols are crumbling. Where does value accrue in AI, even with portable data? Thin Protocols. Fat "Thick" Apps.
Simplicity-maxing Tim Berners-Lee’s Solid Project with opinionated design and AI.