Capture leads on WhatsApp and save them to Sheets
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
An n8n workflow classifies, prioritizes and summarizes each support email, drafts a reply and posts it to Slack for a person to send.
An n8n workflow classifies, prioritizes and summarizes each support email, drafts a reply and posts it to Slack for a person to send.
A five-node n8n workflow polls Gmail for new support emails. Each one goes to an OpenAI-compatible model (gpt-4o-mini in the shared JSON), which returns a category, an urgency, a one-sentence summary and a 3-5 sentence draft reply. The results are logged to a Google Sheet and posted to Slack. A person reviews the draft and sends it, since the author kept sending manual on purpose.
The author says it takes about 20 minutes to wire up and that the drafts are good. No volume or time-saved figures are given. Commenters found bugs: one email per poll is processed, and the sender shows as an object.
Before production, fix the Code node so it handles every email in a poll (it uses .first()), use from.text for the sender, and add JSON parse error handling and a spam filter.
Build an n8n workflow that watches [support inbox] and, for each new email, classifies the topic, assigns a priority of low, medium or high, and writes a two-line summary. Have it draft a reply using [link to FAQ or policies] and post the summary and draft to [Slack channel] for a person to review. It must never send the reply itself; you're done when a test email produces a Slack post I can approve.
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
Score every demo request against your ICP, update HubSpot and ping the right rep in Slack within a minute of the form submit.
Every new Zendesk ticket gets a category, priority and sentiment tag plus a draft reply in an internal note before an agent opens it.