Extract lead details during chatbot conversations

When a new lead is captured in chat via InsertChat, automatically run the conversation text through DeepSeek to classify intent and extract key contact metadata.

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See all InsertChat + DeepSeek integrations or talk to a human

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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.

InsertChat Explore InsertChat →

Triggers

New conversation started

Fires when a new chat or conversation begins in InsertChat.

Lead captured in chat

Fires when InsertChat captures a lead during a conversation.

Conversation handed off

Fires when InsertChat escalates a conversation to a human.

Actions

Send a message

Sends a message to a user through InsertChat.

Generate an answer

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

Summarize a conversation

Uses InsertChat to summarize a chat transcript.

Create a ticket from a chat

Opens a support ticket from an InsertChat conversation.

DeepSeek Explore DeepSeek →

Triggers

New completion generated

Fires when DeepSeek generates a response to a prompt.

Model run failed

Fires when a request to DeepSeek errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in DeepSeek finishes.

Actions

Generate a completion

Sends a prompt to DeepSeek and returns the model's response.

Summarize text

Uses DeepSeek to summarize a block of text.

Classify or extract data

Uses DeepSeek to classify or extract structured data from text.

Send custom completions back to chat visitors When a conversation starts in InsertChat, generate a completion in DeepSeek and send a tailored message directly back to the visitor. See details

Alert support agents when model fine-tuning completes When a fine-tune job completes in DeepSeek, automatically send a message through InsertChat to notify AI administrators that the updated model is ready. See details

See all InsertChat + DeepSeek integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Extract lead details during chatbot conversations” between InsertChat and DeepSeek?

Yes — describe it in the box above and Knit's Integrations Agent researches InsertChat and DeepSeek'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.

How does connecting InsertChat to DeepSeek expand chatbot capabilities?

Connecting InsertChat to DeepSeek allows your chatbot to tap into advanced AI models for deeper context, sentiment classification, and sophisticated text generation beyond standard scripted responses.

Can InsertChat notify operators if a backend model process encounters an issue in DeepSeek?

Yes, when a model run fails in DeepSeek, you can send an automated message or alert through InsertChat to notify system administrators.