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.
A job seeker reports an AI agent calling and emailing them for a first HR screening.
A job seeker reports an AI agent calling and emailing them for a first HR screening.
The post describes a company using an automated recruiter that first emailed from a generic recruiting address, then placed a phone call that immediately launched into a scripted screening once the candidate answered. The candidate hung up rather than continue with the bot, and commenters added that some employers are already using similar AI screeners to ask the first-round questions before any human speaks with applicants.
The source gives no hiring success numbers; the clear outcome was negative candidate reaction, with the poster refusing the call and many commenters saying this approach drives people away. One commenter said their company uses AI screeners, but the thread mostly highlights frustration rather than proven results.
The practical catch is that even this first contact felt impersonal enough that the candidate hung up, so drop-off at the very first screening step is a real risk.
Build me an assistant that, when a new applicant arrives for [job title] in [where applications come in], emails them to offer a time for a first HR screening using my calendar availability: [days and hours]. Include 3 to 5 standard screening questions: [questions]. Show me each email draft and ask for my approval before anything is sent; finished means the applicant has a confirmed slot and their answers are logged in [sheet or tool].
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
An n8n workflow has AI classify web-form jobs by type, urgency and summary, create an Airtable record, reply instantly and flag uncertain cases.
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.