Prompt management for teams. Build a prompt library. Deploy everywhere.
A prompt is an AI component: input variables, instructions, model settings. Build your prompt library once. Deploy each prompt to chat, API, or a workflow and run it reliably every time. Every prompt is version controlled. Track changes, roll back when something breaks, see the full history of what changed and when.
Your business logic lives in the wrong places. ChatGPT conversations. Make workflow nodes. Claude Projects. When you switch models or move providers, you rebuild everything because you do not own the plumbing.
- •Model-agnostic - Switch from GPT-4 to Claude with a dropdown. Your prompt works across any model.
- •Deploy everywhere - Chat, API endpoint, workflow step. Same component.
- •Version controlled - Track changes. Roll back anytime.
- •Parameterized - Define variables once, use across all deployments.
- •Structured Outputs - Get schema-validated JSON responses instead of parsing unstructured text.
- •MCP Integration - Connect to databases, APIs, and internal systems.
- •File Processing - Attach static files or accept dynamic uploads.
- •Sharing Permissions - Control who can edit, view, or use your prompts.
Join Teams Building Reusable AI Components
Aisle Features
Multi-Model Chat
One interface for your whole team to interact with all leading AI models. Stop managing multiple subscriptions.
Reusable Prompts
Build reusable AI components that your whole team can use. Deploy to chat, API, or workflows.
Interactive Workflows
Build complex AI processes without code. Chain prompts, integrate systems, and automate decisions.
Playgrounds
Test prompts across all models simultaneously. Compare iterations side-by-side.