With Aisle you build prompts that are model-agnostic by design. Deploy via API, use in chat, or chain in workflows. Git + Heroku for prompts.
Your prompt logic lives in one place. Not hardcoded in your application. Build prompts with variables, structured outputs, MCP and files. Deploy via API or call from your application code.
Write your prompt once. Works across GPT-4, Claude, Gemini, and future models. Switch providers with a dropdown. No code changes.
Track every change to every prompt. See who changed what and when. Roll back when something breaks.
Logging optional with full context. Inputs, outputs, model and settings, tokens. Debug failures and track performance over time.
Expose prompts as endpoints. Call from your application code. Change the model or update the prompt without touching your codebase.


Your Aisle prompts work in Cursor, Claude Desktop, any MCP-enabled tool.
Cursor today, Claude Code tomorrow. Centralize your development prompts and distribute them via MCP to your programming tools. Everyone uses them in their IDE via / command. You can now maintain a central library and prompt updates deploy to the team. Swap your tooling whenever you want - the prompts stay in your library.
Chain prompts into automated processes.
Chain together prompts, integrations, logic and human in the loop steps. Automate internal tasks without writing code. Workflows can be triggered by API or Webhook.
Learn more about workflows

Chat with every major model in one interface. Claude, ChatGPT, Gemini, Llama, DeepSeek, Grok, Perplexity. Each model has strengths. You shouldn't be locked to one.
Upload files and images. Search the web. Fork a conversation to test a different approach without losing your original thread. Share any conversation with your team.
Learn more about chatOne interface for your whole team to interact with all leading AI models. Stop managing multiple subscriptions.
Build reusable AI components that your whole team can use. Deploy to chat, API, or workflows.
Build complex AI processes without code. Chain prompts, integrate systems, and automate decisions.
Test prompts across all models simultaneously. Compare iterations side-by-side.