Work & Operations
Answer patient enquiries for a clinic by chat
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
n8n · Gemini
Screen job applications and summarize in a digest
A hiring manager used Zapier Agents to pull in applications on a schedule, summarize them, filter out mismatches, and optionally reply to applicants.
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported
Use case overview
A hiring manager used Zapier Agents to pull in applications on a schedule, summarize them, filter out mismatches, and optionally reply to applicants.
Reported experience
What they did
The author is a hiring manager. They had earlier done this with Apple Mail and Claude, and here they moved it to Zapier AI Agents. Instead of building a workflow with loops and branches, they describe the task in plain language. The plan is a daily, weekly or biweekly trigger that pulls in the past period's applications, summarizes them, and sends a digest that leaves out irrelevant candidates. Replying to each applicant with a refusal or an interview invitation is optional.
How it went
The post sets out the idea and the setup only. It reports no results, numbers, or testing of the replies, so how well it works is not shown.
Example prompts
Create a Zapier Agent that checks [application source, e.g. Gmail label or form responses] every [day/week] for new job applications for [role]. Have it summarize each one, filter out candidates who don't meet [must-have criteria], and send me a digest with the remaining ones. Do not email any applicant without showing me the draft and getting my approval first.
Related use cases
Work & Operations
Triage car repair requests and reply to customers
An n8n workflow has AI classify web-form jobs by type, urgency and summary, create an Airtable record, reply instantly and flag uncertain cases.
n8n
Work & Operations
Summarize meetings and triage support tickets with Lindy
Lindy agents summarized meeting notes, sent action items to teammates, suggested knowledge-base replies on support tickets, and handled follow-up emails and calendar updates.
Lindy