# start quickly

- [Leadzy tutorial](https://docs.chatlayer.ai/start-quickly/leadzy-tutorial.md): A Chatlayer beginner's tutorial to create a bot from scratch, to live.
- [0. Introduction](https://docs.chatlayer.ai/start-quickly/leadzy-tutorial/0.-introduction.md): Let's contextualize what the Leadzy bot project is all about.
- [1. New bot, new block](https://docs.chatlayer.ai/start-quickly/leadzy-tutorial/1.-new-bot-new-block.md): Now that we have planned the Leadzy bot, we know what we want to build. It’s time to open Chatlayer and get our hands dirty!
- [2. Understand your users](https://docs.chatlayer.ai/start-quickly/leadzy-tutorial/2.-understand-your-users.md): In the previous lesson, we created a new bot and edited its Introduction block. Now it's time to make your bot able to understand its users by powering it with our Natural language processing engine.
- [3. Collect and display user input](https://docs.chatlayer.ai/start-quickly/leadzy-tutorial/3.-collect-and-display-user-input.md): In the previous lesson, we taught the bot to understand the user using Natural Language Processing (NLP). In this lesson, you'll learn how to gather user input for use in the conversation.
- [4. Steer the conversation with Conditions](https://docs.chatlayer.ai/start-quickly/leadzy-tutorial/4.-steer-the-conversation-with-conditions.md): In the previous lesson, you learned how to get user input and re-use it as variables. Let's see now how the conversation can be steered in different directions based on variables.
- [5. Empower your bot with Actions](https://docs.chatlayer.ai/start-quickly/leadzy-tutorial/5.-empower-your-bot-with-actions.md): So far, you’ve created a bot that understands, responds and redirects the conversation based on certain variables. Learn now how to connect it to 3rd-party systems to increase its functionalities.
- [6. Set up a channel and publish your bot](https://docs.chatlayer.ai/start-quickly/leadzy-tutorial/6.-set-up-a-channel-and-publish-your-bot.md): Congratulations on building your bot! Yet, it's still not available for your customers. In this lesson, you will learn how to connect your bot to a channel and publish it.
- [Templates](https://docs.chatlayer.ai/start-quickly/bot-templates.md): Chatlayer offers multiple bot templates for you to explore many of our features. It's play time!
- [Banking](https://docs.chatlayer.ai/start-quickly/bot-templates/banking.md)
- [E-Commerce Returns](https://docs.chatlayer.ai/start-quickly/bot-templates/e-commerce-returns.md)
- [E-Bike Shop](https://docs.chatlayer.ai/start-quickly/bot-templates/e-bike-shop.md)
- [E-Scooter Support](https://docs.chatlayer.ai/start-quickly/bot-templates/e-scooter-support.md)
- [Feedback](https://docs.chatlayer.ai/start-quickly/bot-templates/feedback.md)
- [Find Nearest Location](https://docs.chatlayer.ai/start-quickly/bot-templates/find-nearest-location.md)
- [GPT](https://docs.chatlayer.ai/start-quickly/bot-templates/gpt.md)
- [Gym](https://docs.chatlayer.ai/start-quickly/bot-templates/gym.md): This bilingual booking assistant helps your customers to schedule their gym sessions. It offers a free trial for new joiners, books and cancels classes using Tables.
- [Job applications](https://docs.chatlayer.ai/start-quickly/bot-templates/job-applications.md)
- [Knowledge base AI template](https://docs.chatlayer.ai/start-quickly/bot-templates/knowledge-base-ai-template.md): Use AI to scrape your data and generate an answer. All of this, in a ready-to-go template bot.
- [Lead generation](https://docs.chatlayer.ai/start-quickly/bot-templates/lead-generation.md)
- [NPS](https://docs.chatlayer.ai/start-quickly/bot-templates/nps.md): The Net Promoter Score®  template gathers feedback from your customers and saves it in a Table.
- [Restaurant](https://docs.chatlayer.ai/start-quickly/bot-templates/restaurant.md)
- [Retail](https://docs.chatlayer.ai/start-quickly/bot-templates/retail.md)


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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.chatlayer.ai/start-quickly.md?ask=<question>
```

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.