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