Overview
Create, manage, and optimize AI prompts for reliable and consistent language model outputs.
What it is
Prompts are the instructions you give to AI models to get the responses you need. Without a single place to manage them, prompts end up scattered across code or config, changes are hard to track, and it’s difficult to compare versions or run them consistently against datasets and evals. That’s why we built Prompt Workbench: a place in Future AGI where you create, test, and refine these instructions for optimal results. With built-in templates, version control, and performance tracking, you can systematically improve your AI interactions over time.
Purpose
- Create and manage prompts — Build prompts from scratch or from existing templates, with full control over structure and variables.
- Organize and navigate — Use folders to group prompts and keep your workspace manageable.
- Track and optimize — Link prompts to traces for monitoring and use version history to compare and roll back changes.
- Integrate with the platform — Use the same prompts across datasets, simulations, and experiments for consistent behaviour and evaluation.
Getting started with prompts
Create a Prompt from Scratch
Build a custom prompt from the ground up with complete control over every aspect.
Use Existing Templates
Save time by starting with pre-built templates designed for common use cases.
Link Prompts to Traces
Connect your prompts to traces for comprehensive monitoring and performance analysis.
Manage Prompt Folders
Organize your prompts into folders for better navigation and management.