# Get Started ## Try in three minutes Getting started with aito.ai is absolutely easiest with Airtable, and using our Instant Predictions extension. The extension is available for free from the [Airtable Marketplace](https://airtable.com/marketplace/blkHZZ8NLJ27bL5oy/aito-instant-predictions), and it automates all the steps of creating datasets and making predictions. You'll get results without a single line of code. ## Different ways to use aito.ai aito.ai machine learning can be used in various ways, depending on your needs and the level of coding experience. These are the most common ways: * [Airtable extension](https://airtable.com/marketplace/blkHZZ8NLJ27bL5oy/aito-instant-predictions) - our Airtable extension is truly no-code. The best starting point for most. * [aito.ai Console](https://console.aito.ai) - Our web console is needed in all cases to maintain your aito.ai cloud instance, teams and payment methods. But it also supports uploading datasets, testing predictions and making evaluations. * [Python SDK](https://aito-python-sdk.readthedocs.io/en/stable/) - Our Python SDK is an easy to use wrapper for the full aito.ai API, and simplifies many steps in the process. This is the preferred way for example when using Python-native Automation platforms such as Robocorp. * [aito.ai API](https://aito.ai/docs/api/) - Sometimes the easiest way is just to make HTTP calls straight to aito.ai's API. This is most commonly used from various workflow automation tools, such as Integromat/Make, Zapier, UiPath, Parabola, MS Power Automate and many more. * [Command Line Interface](https://aito-python-sdk.readthedocs.io/en/stable/cli.html) - well yeah. You can do that too. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.aito.ai/readme.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.