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 commenter built a basic hiring agent loaded with competency definitions and levels for HR evaluation work.
A commenter built a basic hiring agent loaded with competency definitions and levels for HR evaluation work.
They built a basic hiring agent in Copilot Pro and loaded it with their company’s competency definitions and levels through SharePoint as the knowledge base. The agent was used to analyze job descriptions, recommend which competencies were critical for a role, and generate behavioral and situational interview questions plus a scoring rubric; the human set it up in natural language and tested it a few times to make sure it worked correctly.
The commenter says it was very simple, required no coding, and saved them lots of time. The post does not give outcome metrics or describe how well the recommendations performed in actual hiring.
The main catch is that this depended on having Copilot Pro with custom agents and SharePoint knowledge-base connections; they said a novice could set it up with some googling and videos.
I'm attaching our competency framework with definitions and levels for [role or job family]. For each candidate in [folder or file of interview notes and résumés], assess evidence against each competency and suggest a level with quotes from the notes. Flag gaps where there's not enough evidence. Finish with a comparison table and a short summary per candidate, treating it as input for my decision and not a final call.
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.