How to build a shared, multi-model prompt library for your team in Aisle - with variables, per-prompt model settings, versioning, sharing, and prompts that run across ChatGPT, Claude, Gemini, Grok, and more.

Three ways to build the same automation on Aisle - a two-prompt workflow, a single-prompt workflow, and a native Python Task - and what each one cost in tokens, effort, and maintenance.

In this video we show using the Playgrounds feature to compare the responses of different models - such as Opus 4.6 and GPT 5.4 - along with different prompt settings.

Use the Aisle memories feature to create an on the fly, searchable AI RAG database that extends past usual context limits. Upload hundreds of documents including PDF, PPT, DOC and then chat with your data.

In this tutorial, Mitch takes us through the Aisle Projects feature - how to bundle prompts, workflows, MCP connectors, and knowledge bases into a single agent-run workspace.

How much time do you spend on prompt structure? Mitchell takes us through a quick demo of the Aisle Prompt Builder, which takes a natural language task description and fleshes it out into the Aisle preferred prompt structure, complete with variables and output structure.

How to build a prompt in Aisle from scratch. Mitch walks through the Prompts feature: setting up a prompt, configuring structured outputs, and deploying it to your team.

How to write effective AI prompts using prompt engineering best practices. Step-by-step guide: anatomy, variables, model settings, and deployment from scratch to production in Aisle.

How to summarize a YouTube video with AI and extract YouTube transcripts. Build one workflow, run it on any video. Step-by-step with Aisle and Supadata.

How to fork conversations in Aisle chat. Explore multiple AI responses without losing context. Version control for conversations.

The original Aisle Platform Demo from April 2025 - taking early users through multi model chat (ChatGPT, Claude), setting up reusable AI prompts and creating chained AI workflows.