Customize & Training
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Our aim is to provide you with a highly customizable and manageable chatbot while ensuring that the entire process—customization, training, and embed—remains clear and straightforward. Therefore, our chatbot is designed as a highly flexible and customizable tool.
You can reach customization options on your embed from "Customize & Training" tab on "AI Agent" model.
You can determine your Chatbot's styling according to your website's design. You'll be able to change almost whole design for your branding.
The AI Chatbot comes with many unique features that you can easily toggle on or off at any time.
It allows your users to copy messages from the AI assistant, enhancing the user experience significantly.
Chat history is a unique feature for embeddable AI tools. You can utilize the chat history feature in your embeds in two ways. By default, we create your embeds without the chat history feature enabled. However, you have the flexibility to turn it on or off and adjust your selection whenever you wish.
Password Protected
You can create a password-protected chat history for your users. Each user will have a unique chat history secured with an unique encrypted code. This feature enables you to establish your own chat hub, allowing users to engage with their personal data.
Public Access
You can use history as public. This means that everyone will see previous chat histories.
If you use sensitive data, this feature can cause security issues.
User ID
With selecting this setting and manually putting the muser parameter in the iframe URL matched with the user's ID, we at Aicado associate the user's information with their ID on your app and link it to their chat history. This way, each time the user uses the chatbot, they can securely see their own history without needing to enter any password information. This method provides a seamless and secure experience for your users.
This feature enables users to interact with the AI Agent via voice input. Users can speak directly using their microphone, and the agent transcribes the speech into text to generate responses. Replies can optionally be delivered in spoken form.
Browser-based microphone support for voice input
Real-time speech-to-text transcription for a natural dialogue experience
Agent responses can be both displayed as text and played back as audio
Full history of both text and voice interactions is retained
Users can upload files during the conversation to enable document-based interaction with the AI Agent.
Only PDF format is currently supported.
Uploaded files are automatically analyzed by the AI Agent to generate intelligent, context-aware responses based on the document content.
The agent can reference specific excerpts from the file to provide more detailed and accurate answers.
For example, a user can upload their resume and receive tailored job suggestions or feedback.
A drag-and-drop interface is available, making it easy and intuitive for users to upload their documents directly into the chat window.
These are predefined messages shown to visitors before they start a conversation. When a user lands on the page, a welcome message is displayed by default. Users can quickly start a conversation by clicking on buttons like “How can I help you?” or “I’d like to learn more about the product.”
These messages can be customized to guide the user experience and improve conversion rates.
Set a limit on the number of messages that can be sent from a single device through the iframe and chat bubble. This limit aims to prevent misuse and will only apply to users on your embed, without impacting your usage on aicado.ai - playground.
Training your AI chatbot with your content ensures that it understands your brand, products, and services, allowing it to provide accurate and relevant responses in conversations.
We use a training assistant to train your chatbot with your data. Here's a guide to the various methods supported by Aicado:
Adding Entire Website or Single Page or Crawl via Sitemap We can crawl your entire website, a single page, or use your sitemap to target specific sections. However, each page crawl consumes 1 credit. We suggest adding only your support center content to ensure the bot learns from the most relevant information.
Adding Custom Text Content If you need to add custom text to enhance the AI's knowledge about specific topics, you can simply input the text into the training assistant. This method allows for personalized training, aligning the bot with your specific needs and preferences.
Adding JSON or NDJSON You can also enhance the AI's knowledge by adding data in JSON or NDJSON format. This method allows for structured input that can be tailored to your specific requirements.
Adding PDF Content You can add PDF files containing important information to train the AI. Whether it's product manuals, guides, or other textual data, this feature enables the bot to learn directly from your existing documents.
If users cannot get answers from the AI, you can track these interactions in the inbox and add the unanswered questions as custom questions and answers. This enables the AI to learn from real interactions, continually improving its ability to assist users.
AI Agent Tools offer a comprehensive set of capabilities that allow users to gather, analyze, and process data from various sources such as text, images, audio, the web, and social media.
Each tool is designed to serve a specific function:
Creative content generation like text-to-image, text-to-speech, and image editing,
Information gathering via web browsing and search engines,
Data extraction from social media platforms such as LinkedIn, Instagram, TikTok, and Facebook,
Access to commercial and professional data sources like Amazon, Indeed, and Crunchbase,
Collection of real-time data from map reviews, news feeds, and app stores.
Do you need more customization for your embeddable AI tool?
Webhooks allow you talk with your embeds on custom way. You can access detailed information about webhooks from .
These tools transform your AI Agent model into a “super assistant,” accelerating your workflows in data collection, content creation, analysis, and interactive task execution. to explore detailed explanations of what each tool does, how it works, and the use cases it's best suited for.
