Understand the core ideas behind Aymo, including workspaces, threads, shared chats, model switching, and token usage. Learn the fundamental structure that powers multi-model AI workflows.
Core Concepts provide a clear understanding of how Aymo organizes work, handles conversations, and uses AI models. These fundamentals help teams work efficiently and stay aligned across projects.

A workspace is the central environment where work happens. Each workspace maintains its own:
Workspaces keep projects organized and ensure data remains isolated between teams or areas of work.
A thread is a conversation with an AI model. Threads help separate work by project or task.
Use threads to:
Aymo saves each thread automatically.
Shared chats allow teams to collaborate inside the same conversation.
Members can view history, refine prompts, compare model outputs, and continue work without losing context.
Shared chats are available inside shared workspaces.
The Team Library will store reusable knowledge for the entire team.
This includes:
The library creates consistent outputs and helps teams maintain shared standards.
Aymo supports instant switching between models such as GPT, Claude, Gemini, Grok, Qwen, and others.
Model switching helps compare:
Switch models at any time without starting a new thread.
Tokens measure how much text is processed during a conversation.
They include both:
Higher-tier models typically use more tokens due to deeper reasoning and longer outputs.
Plan limits determine the total number of messages and tokens available each month.