Understanding Notebooks in Arato
A Notebook is your central workspace for AI experimentation—from simple prompts to complex applications. Think of it as your AI playground where every experiment is organized, tracked, and easily accessible.
Why Use Notebooks?
Managing and scaling AI experiments can be challenging. Arato's Notebooks simplify this process by providing a structured environment where you can:
Organize multiple experiments in one place without losing context
Scale from a single prompt to production-ready applications
Test different parameters, models, and evaluation methodologies quickly
Collaborate with team members while maintaining a clear record of experiments, making results interpretable
What Is a Notebook?
A Notebook is a flexible workspace that consists of:
Prompts: Your AI instructions, which can be single queries or complex chains of commands
Variables: Used instead of fixed values. These variables can be replaced dynamically with different inputs, enabling automated testing and optimization
Datasets: Input data for your prompts to process and expected outcome—from simple spreadsheets to complex JSON structures
Evaluations (Evals): Metrics or rules that measure your prompt's performance against defined criteria
Experiment Results: Detailed outputs from your experiments, including performance metrics, response analysis, visual representation, and detailed view
Tip: Before starting with Notebooks, ensure you have valid API keys for your chosen AI models.