The cost of separate products
Paying several companies every month is expensive. Managing them is tedious too. A question might begin in one chat and reach the point where another model would be more useful. Moving meant copying the prompt, carrying over whichever parts of the context still made sense, and getting used to another interface. The user had to coordinate products that were meant to save time. Capriole AI puts the supported frontier models in one web chat. You can start a conversation with one model and change to another without opening a new product or rebuilding the thread. Files, web search, chat history, and model selection stay in the same workspace.Making different models feel like one product
Every model provider has its own assumptions. Message formats differ. Context limits and reasoning controls differ. Files, tools, streaming events, token accounting, and error responses all need their own handling. An official AI product only needs to make its own models work well. Capriole AI has to make leading models from several providers behave coherently inside one conversation. A model selector was the smallest part of the job. We built and kept refining protocol adapters, model aliases, context management, streaming behavior, automatic fallback, and error handling. New model releases often need another round of compatibility work before they belong in the same interface. The differences show up in real requests. One model family may use OpenAI Responses events while another expects Anthropic Messages. Token usage and errors arrive in different shapes. A long thread may need its context compacted before the next model can continue it safely. Those cases have to work together before a model switch can feel uneventful. Most of that work stays behind the interface. A user can switch from a ChatGPT model to Claude or Gemini halfway through a conversation and continue in the same thread. The same Capriole AI account spans browser chat, the public API, and six maintained coding-agent integrations: Codex, Claude Code, Kilo Code, GitHub Copilot CLI, OpenCode, and OpenClaw. Latest-model aliases simplify supported API and agent configuration without making you track provider-specific model names. We handle the compatible protocol paths so connecting an agent doesn’t become another provider-integration project.A membership priced for everyday use
We built Capriole AI to replace a collection of expensive AI memberships with one affordable account. Premium costs USD 8 per month. It includes unlimited browser chat across the supported Premium model set. There is no browser-chat credit balance to watch and no separate allowance deducted each time you change models. Premium members also receive 5 million charged API tokens each month, and additional usage is available through top-ups. In our dated cost comparison, Capriole costs USD 8 for each of the three tested model workloads. Direct paid Standard pricing ranges from USD 15 to USD 90, while OpenRouter ranges from USD 15.83 to USD 94.95 after its published credit-purchase fee. The test uses one fixed token mix rather than every possible workload. It still demonstrates the reason we built the membership this way: the lower verified API total comes inside a complete workspace instead of buying inference alone. One account can therefore cover the chat used for everyday thinking and the API used for building. The browser remains unlimited under Premium; the API keeps a clear, visible usage balance.Privacy should be a choice in the product
A saved research thread and a conversation containing sensitive material do not need the same storage policy.
Enabling No Storage first asks for confirmation before deleting existing server and local chat history. All modes still send requests through Capriole and the selected model service; they change history persistence, not the model request path. The chat storage guide explains the complete boundary.
We made privacy a control inside the workspace, with the consequences of each choice explained alongside it.