Send custom completions back to chat visitors

When a conversation starts in ChatGPT, generate a completion in Deepgram and send a tailored message directly back to the visitor.

Try:

See all ChatGPT + Deepgram 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.

ChatGPT Explore ChatGPT →

Triggers

New conversation started

Fires when a new chat or conversation begins in ChatGPT.

Lead captured in chat

Fires when ChatGPT captures a lead during a conversation.

Conversation handed off

Fires when ChatGPT escalates a conversation to a human.

Actions

Send a message

Sends a message to a user through ChatGPT.

Generate an answer

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

Summarize a conversation

Uses ChatGPT to summarize a chat transcript.

Create a ticket from a chat

Opens a support ticket from an ChatGPT conversation.

Deepgram Explore Deepgram →

Triggers

New completion generated

Fires when Deepgram generates a response to a prompt.

Model run failed

Fires when a request to Deepgram errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Deepgram finishes.

Actions

Generate a completion

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

Summarize text

Uses Deepgram to summarize a block of text.

Classify or extract data

Uses Deepgram to classify or extract structured data from text.

Extract lead details during chatbot conversations When a new lead is captured in chat via ChatGPT, automatically run the conversation text through Deepgram to classify intent and extract key contact metadata. See details

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

See all ChatGPT + Deepgram integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Send custom completions back to chat visitors” between ChatGPT and Deepgram?

Yes — describe it in the box above and Knit's Integrations Agent researches ChatGPT and Deepgram'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 ChatGPT to Deepgram expand chatbot capabilities?

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

Can ChatGPT notify operators if a backend model process encounters an issue in Deepgram?

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