Answer chatbot inquiries using database query results

When a data query result becomes ready in AITable.ai, automatically send a generated message in Dante AI back to the active user.

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

AITable.ai Explore AITable.ai →

Triggers

New row inserted

Fires when a new row is added to a table in AITable.ai.

Row updated

Fires when an existing row changes in AITable.ai.

Query result ready

Fires when a scheduled query in AITable.ai finishes running.

Actions

Run a query

Runs a SQL query against AITable.ai and returns the result.

Insert or update a row

Writes a new or updated row to AITable.ai.

Sync a table

Syncs a table in AITable.ai with data from another source.

Dante AI Explore Dante AI →

Triggers

New conversation started

Fires when a new chat or conversation begins in Dante AI.

Lead captured in chat

Fires when Dante AI captures a lead during a conversation.

Conversation handed off

Fires when Dante AI escalates a conversation to a human.

Actions

Send a message

Sends a message to a user through Dante AI.

Generate an answer

Asks Dante AI a question against its knowledge base and returns the answer.

Summarize a conversation

Uses Dante AI to summarize a chat transcript.

Create a ticket from a chat

Opens a support ticket from an Dante AI conversation.

Store new chat leads in a backend database When a prospective customer provides details in Dante AI, automatically insert or update a row in AITable.ai to retain prospect data. See details

Archive chat summaries upon human agent handoff Whenever a conversation is handed off in Dante AI, automatically write a summary directly into AITable.ai for central analytics. See details

See all AITable.ai + Dante AI integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Answer chatbot inquiries using database query results” between AITable.ai and Dante AI?

Yes — describe it in the box above and Knit's Integrations Agent researches AITable.ai and Dante AI's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

What is the main benefit of pairing Dante AI with AITable.ai?

It bridges public customer chats with backend data stores, ensuring lead details are stored safely and allowing assistants to retrieve live record updates instantly.

Can updates in AITable.ai prompt messages in Dante AI?

Yes, when a row is updated or inserted in AITable.ai, you can instruct Dante AI to send an automated message or follow-up response to the user.