What problem does it solve? LLM training data often contains outdated or incorrect information about the Vercel platform, leading to wrong recommendations such as defaulting to Edge runtime, assuming streaming requires Edge, or referencing deprecated products like Vercel Postgres and Vercel KV. ## Core Features & Use Cases - Knowledge Corrections: Overrides stale assumptions about Edge Functions, Fluid Compute, streaming/SSE support, Node.js versions, function timeouts, and pricing models. - New Product Awareness: Introduces recent Vercel offerings including eve, AI Gateway, Queues, Sandbox, Rolling Releases, BotID, and the MCP server. - Configuration Guidance: Promotes vercel.ts with @vercel/config as the replacement for vercel.json, with typed configuration examples. - Use Case: When a developer asks how to stream AI responses on Vercel, the skill ensures the answer uses the default Node.js Fluid Compute runtime instead of incorrectly recommending Edge runtime. ## Quick Start Ask the assistant to explain how to deploy a streaming API route on Vercel and it will apply the corrected platform knowledge automatically.
