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
Collect and summarize async standup updates
Zapier's internal agents gather async standup updates and summarize them, letting teams replace five daily standups with two weekly sessions.
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported
Use case overview
Zapier's internal agents gather async standup updates and summarize them, letting teams replace five daily standups with two weekly sessions.
Reported experience
What they did
Andrew Kordampalos's team at Zapier saw daily standups eating too much time. They built two small agents on Zapier's own platform. One pinged each team member for an async update. The other summarized the updates for everyone. Slack was the coordination layer, and new agents were tested in sandbox channels before going to production.
How it went
The daily standup turned into a twice-a-week sync almost overnight. The source gives no figures for time saved or summary quality, and says a new agent idea typically takes days to build.
Worth knowing
Launch the agents in a controlled sandbox channel first and check the signal-to-noise ratio before rolling them out to the team.
Example prompts
Every weekday at [time], collect async standup updates from [Slack channel or form] for [team name]. Summarize them into one post grouped by person, with blockers called out at the top, and list any items that need a decision. Draft the summary and show it to me before posting it to [channel]; the job is done once I approve and it's posted.
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