From the crew
Guides, workflows, and ideas for running a smarter kitchen — plus dispatches on AI-native tools and MCP integrations.
How Ration Uses Cloudflare Vectorize for Semantic Pantry Search
A technical walkthrough of Ration's semantic ingredient matching stack: embeddings, Vectorize namespaces, D1 hydration, and quantity-aware result validation.
Read →Food Waste Is a Data Pipeline Problem
Reducing household food waste is not only about discipline. It is mostly an information freshness problem across inventory, recipes, planning, and shopping.
Read →Designing a Consumer App for AI Agents: Ration's MCP Architecture
How Ration exposes pantry, meal planning, and shopping workflows through MCP with scoped auth, tool-level safety controls, and predictable schemas.
Read →Why Pantry Search Needs Semantics, Not Just Keywords
Keyword search breaks in real kitchens because pantry data is messy human language. Here is how semantic matching makes pantry inventory actually useful.
Read →Breaking the Meal Planning Loop
The weekly cycle of planning, shopping, cooking, and repeating is relentless by nature. Here's how a connected workflow reduces the overhead without adding complexity.
Read →The Pantry Data Problem
Most pantry trackers fail because getting data in is harder than keeping it organized. Here's how AI image processing, APIs, and structured ingestion change the equation.
Read →Your Kitchen Has an API Now
How to connect Ration to Claude, Cursor, and any MCP client — with real prompts, real outputs, and workflows that make it worth setting up.
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