AI Tools for Adalo Apps
Adding AI to an Adalo app is a hosting question before it is an AI question. Adalo can send a request and store a response, but conversations, streaming and knowledge bases need somewhere to run. Here are the two practical approaches.
Approach 1, AI through a custom action
Send a prompt to a model provider from a button action and save the response to a collection. This works well for one-shot generation: summarise this text, suggest a title, categorise this entry.
It does not give you conversation history or streamed replies, and your API key must be handled carefully because custom actions are configured per app.
Approach 2, a hosted chat interface in a WebView
For anything conversational, embed a hosted chat page. The page keeps the message thread, streams the answer, and can be grounded in your own content.
That is what the AI Chatbots tool does: you build the bot, customise how it answers and looks, then paste its URL into an Adalo WebView component.
What to be careful about
Ground answers in your own material where accuracy matters, tell users they are talking to an AI, and decide up front what the bot should refuse to answer. Costs scale per message, so usage limits are worth thinking about early.
Related tools
Questions
How do I add an AI chatbot to an Adalo app?
Create the chatbot, add its knowledge, customise behaviour and appearance, test it, then embed the chatbot URL in an Adalo WebView component.
Can AI read my Adalo data?
Only if you give it access to that data through a connected source. It has no automatic view of your Adalo collections.