Documentation
Everything you need to create, configure and deploy your chatbots with asistente.cloud.
Getting started
asistente.cloud allows you to create intelligent virtual assistants in minutes. Follow these steps to get started:
1. Create your account
Sign up on the platform with your email and password. You will receive a confirmation email to activate your account.
2. Create your first chatbot
From the dashboard, click "New bot" and fill in the basic information: name, description and AI model.
3. Configure and publish it
Customise the behaviour, train it with your content and get the embed code to add it to your website.
Chatbot Configuration
Each chatbot is organised into tabs for easy management:
- Configuration: Name, description, AI model, temperature and other general parameters.
- Behaviour: System instructions, assistant personality and response rules.
- Training: Upload documents, add manual text or import web content to train the chatbot.
- Appearance: Customise colours, logo, welcome messages and the widget visual style.
- Embed: Get the HTML/JavaScript code to integrate the chatbot into your website.
Training methods
You can train your chatbot with different information sources:
- Manual text: Write the content you want the chatbot to know directly.
- File upload: Upload documents in PDF, TXT, DOCX, CSV or other supported formats.
- Web import: Enter a URL and the system will automatically extract the content.
Tip: Combine several sources to get more complete and accurate answers.
Embedding on your website
Once your chatbot is configured, you can easily integrate it into any web page.
Copy the code snippet from the "Embed" tab of your chatbot and paste it before the closing </body> tag in your HTML.
Key features
- Text to speech (TTS): The chatbot can read its responses aloud.
- Speech to text (STT): Users can dictate their messages by microphone.
- Suggested messages: Shows starter questions to guide the user.
- Follow-up questions: Automatic suggestions after each response.
- Source citations: Shows the sources used to generate the response.
- Emoji reactions: Allows users to react to messages with emojis.