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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.

Chat Launcher

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.

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​

  1. Click the Models tab
  2. Select a model (Claude Sonnet, GPT-4, etc.)
  3. Optionally configure settings
  4. Type your message and send

Model Chat

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.

Adjust settings - Click the gear icon to modify:

  • Temperature (lower = consistent, higher = creative)
  • Max tokens (response length limit)
  • Other model-specific parameters

Enable tools - Depending on the model:

  • Web search for current information
  • MCP integrations for external data
  • Citations for sourcing claims

For most conversations, you don't need to touch these settings. The defaults work fine.

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.

Context Limit Indicator

Rename conversations - Click any auto-generated title to rename it. "Chat with Claude Sonnet 4 - Feb 5" becomes "Q4 Marketing Strategy Discussion" for easier future reference.

Search your history - Access all past conversations via "All Chats" in top navigation. Search by keywords to find specific conversations.

Running Library Tools​

  1. Click the Library tab
  2. Select a custom prompt or workflow
  3. Fill in any required inputs
  4. Run it and continue the conversation

Library Tools

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

The key difference from generic model chat: library tools already know what to do. Your sales team doesn't need to remember how to format call summaries—they just run "Call Summary Generator."

After Running​

You can continue the conversation with the tool:

  • Ask for clarification
  • Request different formatting
  • Dig deeper into specific parts
  • Try variations

Library tools aren't one-and-done. They're starting points for conversations.