Using Chat
Aisle's multi-model chat brings together different AI models in one unified interface. Chat directly with Claude, GPT, and other models, or run your organization's custom prompts and workflows -all from the same place.
The Chat Launcher
When you open Aisle, you land on the chat launcher. It's organized to help you quickly find what you need.
Models Tab
Direct access to AI models from different providers -Claude from Anthropic, GPT from OpenAI, and others.
Each model has different strengths:
- Some prioritize speed for quick responses
- Others excel at complex reasoning
- Some are better for creative tasks
- Others for structured analysis
Your organization controls which models are available. Admins can enable or disable specific models. See the full list of available models at app.aisle.sh/models.
Library Tab
Your organization's custom prompts and workflows. These are specialized AI tools built for specific tasks.
Instead of a generic AI that does everything, library tools are configured for particular use cases:
- "Customer Feedback Analyzer" knows how to process feedback
- "Meeting Notes Summarizer" knows your meeting format
- "Brand Voice Reviewer" knows your style guide
Anyone on your team can run these tools without needing to craft the perfect prompt.
Pinned Items
Quick access to your most-used tools.
Admin pins appear first -set by your organization to highlight important tools everyone should use.
Your personal pins appear next -pin any library item by clicking the pin icon. Stop scrolling through the library to find what you use every Monday.
Recently Used
Pick up where you left off. Your recent conversations and workflow runs appear here for quick access.
Search
Find specific models, prompts, or workflows by name. Type to filter the launcher instantly.
Models vs. Library
Use Models when:
- Exploring open-ended questions
- Iterating on ideas
- Having a conversation to figure something out
- Trying different approaches
Use Library when:
- Executing a known task
- Using a tool your team has built
- You want consistent, repeatable results
- The use case is well-defined
Models are general-purpose AI. Library tools are specialized for your organization's specific needs.
Starting Conversations with Models
- Click the Models tab
- Select a model (Claude Sonnet, GPT-4, etc.)
- Optionally configure settings
- Type your message and send
Optional Configuration
Before sending your first message, you can:
Attach files - Upload documents (Word, PDF, PowerPoint, images). The AI can read them, analyze them, answer questions about content, or compare multiple files.
Tools & Settings - Click the Tools & Settings button in the input area to access:
| Tool / Setting | Description |
|---|---|
| Web Search | Lets the model search the internet for current information. Available on most models. |
| X Search | Lets the model search X (Twitter) posts via the xAI API. Available on supported models. |
| Search depth | For OpenAI models with web search: low, medium, or high. Higher depth retrieves more sources. |
| MCP Connectors | Select which of your connected MCP servers to enable for this conversation. Each enabled server gives the model access to its tools. |
| Temperature | Controls output variability. Lower values produce more consistent responses; higher values produce more varied ones. |
| Max Tokens | Maximum response length. |
| Thinking | On supported models (certain Claude and OpenAI models), enables an extended reasoning step before the final response. Useful for complex analysis. |
For most conversations, the defaults are fine. Adjust tools and settings when you have a specific need - enabling web search for current events, or enabling an MCP connector to query an external service.
Attach files - Upload documents (Word, PDF, PowerPoint, images, CSV, code files). The model can read, analyze, and answer questions about the content.
Continuing the Conversation
Chat is conversational. The AI remembers context from earlier in the conversation. Ask follow-ups, clarify, iterate, change direction -it maintains the thread.
Context limits - The header displays your current token usage as a percentage of the model's maximum context window. Watch this to know when you're approaching limits. If you're running low, consider forking to a new conversation or switching to a model with a larger context window.
Managing conversations
Rename - Click the auto-generated title at the top of any conversation to rename it.
Delete - Open the conversation's action menu (the three-dot icon) and select Delete. Deletion is permanent.
Fork - Branch a conversation from any message point to explore a different direction without losing the original thread. See Forking.
Share - Share a conversation with teammates. See Sharing.
Search your history - Access all past conversations via All Chats in the top navigation.
All Chats
All Chats organises your conversation history into four tabs:
My Chats - all conversations you have started, including direct model chats and library tool runs.
Projects - conversations started inside a Project workspace. Filter by project using the project chips at the top of the tab. Chats also appear on the relevant Project home page.
Shared - conversations that other team members have shared with you. See Sharing for how sharing works.
Notifications - notifications about shared chats and system updates.
Search within any tab to find conversations by keyword.
Running Library Tools
- Click the Library tab
- Select a custom prompt or workflow
- Fill in any required inputs
- Run it and continue the conversation
How Library Tools Work
Library tools are prompts or workflows your organization has built. They're pre-configured for specific tasks with built-in expertise.
When you run a library tool:
- It may ask for inputs upfront (customer feedback, article URL, etc.)
- It processes using its specialized configuration
- It returns results in the expected format
- You can ask follow-up questions or request revisions
Library tools are pre-configured for a specific task. Run them and get consistent output without writing the prompt yourself.
After Running
You can continue the conversation with the tool:
- Ask for clarification
- Request different formatting
- Dig deeper into specific parts
- Try variations
You can continue the conversation after running a library tool - ask follow-up questions, request changes, or dig deeper.