Screen new job applicants with AI background summaries

When a candidate applies for a role in Pinpoint, analyze their resume with Google AI Studio (Gemini) to extract key skills and summarize their experience for hiring managers.

Try:

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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.

Google AI Studio (Gemini) Explore Google AI Studio (Gemini) →

Triggers

New completion generated

Fires when Google AI Studio (Gemini) generates a response to a prompt.

Model run failed

Fires when a request to Google AI Studio (Gemini) errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Google AI Studio (Gemini) finishes.

Actions

Generate a completion

Sends a prompt to Google AI Studio (Gemini) and returns the model's response.

Summarize text

Uses Google AI Studio (Gemini) to summarize a block of text.

Classify or extract data

Uses Google AI Studio (Gemini) to classify or extract structured data from text.

Pinpoint Explore Pinpoint →

Triggers

New candidate applied

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

Candidate stage changed

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

Interview scheduled

Fires when an interview is scheduled in Pinpoint.

Offer extended

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

Actions

Create candidate

Creates a new candidate record in Pinpoint.

Update candidate stage

Moves a candidate to a new pipeline stage in Pinpoint.

Schedule interview

Schedules an interview for a candidate in Pinpoint.

Send offer letter

Sends an offer letter to a candidate via Pinpoint.

Advance candidates based on AI assessment evaluations Once Google AI Studio (Gemini) finishes evaluating a technical assessment submission, automatically update the candidate's recruitment stage in Pinpoint to keep hiring moving fast. See details

Compile candidate preparation briefs before upcoming interviews Whenever an interview is scheduled in Pinpoint, ask Google AI Studio (Gemini) to assemble a concise briefing document on the applicant so interviewers can prepare quickly. See details

See all Google AI Studio (Gemini) + Pinpoint integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Screen new job applicants with AI background summaries” between Google AI Studio (Gemini) and Pinpoint?

Yes — describe it in the box above and Knit's Integrations Agent researches Google AI Studio (Gemini) and Pinpoint'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.

What can an AI Models + ATS integration actually automate?

Common patterns include summarizing a candidate's profile against a job description, drafting a personalized outreach or rejection email, or scoring a pipeline stage using Google AI Studio (Gemini) against structured data pulled from Pinpoint.

Does Google AI Studio (Gemini) need direct access to resumes stored in Pinpoint?

The Agent can pass structured candidate fields, resume text, or both from Pinpoint into Google AI Studio (Gemini), depending on what your workflow needs — no separate resume-parsing step required.