Extract lead details during chatbot conversations
When a new lead is captured in chat via Chatbotic, automatically run the conversation text through DeepSeek to classify intent and extract key contact metadata.
See all Chatbotic + 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.
Chatbotic Explore Chatbotic →
TriggersFires when a new chat or conversation begins in Chatbotic.
Fires when Chatbotic captures a lead during a conversation.
Fires when Chatbotic escalates a conversation to a human.
Sends a message to a user through Chatbotic.
Asks Chatbotic a question against its knowledge base and returns the answer.
Uses Chatbotic to summarize a chat transcript.
Opens a support ticket from an Chatbotic conversation.
DeepSeek Explore DeepSeek →
TriggersFires when DeepSeek returns a completion, prediction or other result.
Fires when a request to DeepSeek errors or times out.
Fires when a fine-tuning job in DeepSeek finishes.
Sends a prompt to DeepSeek and returns the model's response.
Sends text, an image or other data to DeepSeek and returns the model's output.
Uses DeepSeek to classify or extract structured data from text or images.
More Chatbotic + DeepSeek workflows
Send custom completions back to chat visitors
When a conversation starts in Chatbotic, 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 Chatbotic to notify AI administrators that the updated model is ready.
See details
See all Chatbotic + DeepSeek integrations → · Browse the full workflow library →
Common questions
Can Knit build “Extract lead details during chatbot conversations” between Chatbotic and DeepSeek?
Yes — describe it in the box above and Knit's Integrations Agent researches Chatbotic 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 Chatbotic to DeepSeek expand chatbot capabilities?
Connecting Chatbotic 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 Chatbotic 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 Chatbotic to notify system administrators.