Alaio Vibecode: How to Choose an AI Model for Your App

An app that sorts short customer messages needs to do a different job from one that reads lengthy documents. That difference matters when you add AI: the most advanced model isn’t automatically the best fit. In Alaio Vibecode, you can choose a model based on what the app needs to handle and what the result will be used for.

How do you use AI models in apps?

Once you know what you want your app to do, you can choose a model to help with that work. The app can work with text, task descriptions, Bitrix24 data, and other context. It might identify what a customer message is about or pull the key points from a long CRM record. The app can then show the result to an employee, save it in the CRM, or use it in the next step.

Which AI model fits your app?

The built-in options in Alaio Vibecode have different strengths:

• BitrixGPT 5.5 drafts replies, answers questions, analyzes data, and works with images.
• BitrixGPT 5.5 Thinking helps compare information and work through complex questions.
• BitrixGPT 5.5 Agent handles long documents and requests with substantial background information.
• BitrixGPT Embeddings finds related passages or groups similar text.

You can also connect an external model with your own API key. Each model’s details show its capabilities and pricing, so you can weigh the task against the cost.

What might that look like?

A support app could flag a delivery complaint as urgent, create a task for the right manager, and suggest a reply. The manager checks it before sending, while the customer gets an answer sooner. HR, Sales, and Marketing can use the same approach for recurring work that slows their teams down.

Start with the task, then choose the model that can handle it. Keep an employee responsible for important decisions. For setup instructions and a closer look at the available options, see the Helpdesk guide to using AI models in Alaio Vibecode.