Alex takes us through the Aisle prompt library - a shared, multi-model prompt library that lets your team build, run, and version AI prompts across every major model.
A shared prompt library is where your team stores the prompts that are doing actual work day to day - sales email formatters, brand-language converters, bill-of-order templaters, translators, internal Q&A helpers, whatever your team has built. Aisle gives you one place to write those prompts, share them with the right people, and run them across ChatGPT, Claude, Gemini, Grok, and the rest without rewriting them for each model.
In the video I walk through building a prompt with variables, picking the model and toggling per-prompt settings (web search, citations, structured outputs, connectors, thinking), running it from the chat launcher, sharing it across the org or exposing it on an API endpoint, the revision log, optional usage logging, and the generate-with-AI shortcut for skipping the blank page.
The prompts your team writes are doing real work - drafting emails, structuring data, taking judgment calls that used to live in a person's head. Treating them as strings copy-pasted between Google Docs is fine until it isn't: someone leaves, the model changes, a prompt drifts, nobody can find the canonical version. Aisle gives prompts version history, access control, model portability, and logging - the basics any other valuable artifact in your business already gets.