When new client in Dropboard, sync it to ChatGPT (OpenAI).

When a new client profile is created in Dropboard, generate a summary using ChatGPT (OpenAI).

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See all Dropboard + ChatGPT 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.

Dropboard Explore Dropboard →

Triggers

New candidate applied

Fires when a new candidate applies to a job in Dropboard.

Candidate stage changed

Fires when a candidate moves to a new pipeline stage in Dropboard.

Interview scheduled

Fires when an interview is scheduled in Dropboard.

Offer extended

Fires when an offer is extended to a candidate in Dropboard.

Actions

Create candidate

Creates a new candidate record in Dropboard.

Update candidate stage

Moves a candidate to a new pipeline stage in Dropboard.

Schedule interview

Schedules an interview for a candidate in Dropboard.

Send offer letter

Sends an offer letter to a candidate via Dropboard.

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.

Create applicant profiles from chatbot conversations When a lead is captured in chat on ChatGPT, automatically create a candidate record in Dropboard so recruiters can review their details. See details

Send chatbot interview details when candidates advance When a candidate stage changes in Dropboard, instruct ChatGPT to send a personalized chat message detailing next steps in the screening process. See details

Schedule candidate interviews following qualified chat handoffs When a chat conversation is handed off in ChatGPT, initiate an automated interview scheduling workflow in Dropboard. See details

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

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FAQ

Common questions

Can Knit build “When new client in Dropboard, sync it to ChatGPT (OpenAI).” between Dropboard and ChatGPT?

Yes — describe it in the box above and Knit's Integrations Agent researches Dropboard and ChatGPT'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 do chatbots in ChatGPT interact with applicant tracking in Dropboard?

Chatbots gather candidate background details on your career site and create candidate files in Dropboard, while changes in recruitment stages prompt automated chat responses.

Can an AI assistant schedule interviews directly with job applicants?

Yes, after capturing candidate interest or receiving a conversation handoff in ChatGPT, the system can prompt Dropboard to schedule an interview with the recruiting team.