In my previous post, AI Assistant for Our Blog Writing Process, I introduced the assistant we built to help with our blog writing. We'll go through the ingestion pipeline that gets our posts into a database, the embeddings that make the corpus searchable by meaning, the MCP server that exposes all of it, and the plugin that packages the workflows on top.
In my previous post, AI Assistant for Our Blog Writing Process, I introduced the assistant we built to help with our blog writing.
We'll go through the ingestion pipeline that gets our posts into a database, the embeddings that make the corpus searchable by meaning, the MCP server that exposes all of it, and the plugin that packages...
It has two pieces: an MCP (Model Context Protocol) server that holds the source of truth for our two blogs, and a Claude Code plugin that turns that information into workflows for suggesting topics,...
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In my previous post, AI Assistant for Our Blog Writing Process, I introduced the assistant we built to help with our blog writing. We'll go through the ingestion pipeline that gets our posts into a database, the embeddings that make the corpus searchable by meaning, the MCP server that exposes all of it, and the plugin that packages the workflows on top. It has two pieces: an MCP (Model Context Protocol) server that holds the source of truth for our two blogs, and a Claude Code plugin that turns that information into workflows for suggesting topics, planning a post, drafting it and reviewing it.
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