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The Yboard Cookbook provides production-ready examples for building intelligent applications. These recipes demonstrate how to leverage Yboard’s memory layer to create AI experiences that remember context, learn from interactions, and deliver personalized responses.
You can access the full documentation index at schema0.ai/docs.

Available Recipes

Personal AI Assistant

Build an AI assistant that remembers user preferences and context across conversations. This recipe shows how to create a persistent memory layer so your Yboard agent can recall past interactions and tailor responses accordingly. View recipe →

Document Q&A System

Create a chatbot that answers questions from your documents with citations. Ideal for knowledge bases, internal wikis, or any scenario where your Yboard agent needs to reference specific documents accurately. View recipe →

Customer Support Bot

Build a support system that remembers customer history and provides personalized help. This recipe demonstrates how to combine context retention with Yboard’s agent capabilities to deliver consistent, informed support experiences. View recipe →

AI SDK Integration

Complete examples using Vercel AI SDK with Schema0 tools. Learn how to integrate memory features into your Yboard project using the AI SDK for seamless tool calling and context management. View recipe →

Coming Soon

The following recipes are currently in development:
  • Research Assistant — Organize and retrieve research materials with AI-powered memory.
  • Learning Platform — Build personalized learning systems that adapt to each user.
  • Code Documentation Bot — Create an AI assistant that understands your codebase.
  • Meeting Intelligence — Analyze and recall insights from meeting recordings.

Need Help?

For questions or recipe suggestions, reach out to support@schema0.ai.