CookbookAI is an agent-backed web application that combines LLM-driven content generation with persistent storage and user-centric workflows. Rather than producing one-off outputs, the system treats generated recipes as structured data that can be saved, organized, and reused over time.
The application supports authenticated user accounts, schema-driven recipe generation, and a Postgres-backed data model for storing recipes and categories. Generated outputs are immediately usable by both the database and the UI, enabling features like ingredient checklists, step-by-step cooking views, and user-defined collections.
This project demonstrates how agent-generated content can be integrated into a complete product experience, spanning generation, persistence, retrieval, and practical daily use.
The full write-up covers the agent generation flow, structured outputs, authentication model, database schema, and deployment of a production Flask application.
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