Run Structured Hiring Interviews with this AI Prompt
Hiring calls feel inconsistent - use this AI Prompt to run structured interviews, take notes,…
Turn every call into clear notes, owners, and deadlines. These n8n workflows capture decisions, create tasks, and send follow-ups automatically—so nothing slips and meetings pay off.
A typical workflow starts when a meeting ends or a transcript arrives. n8n pulls context like attendees and title from Google Calendar, then sends the transcript or raw notes to OpenAI to produce a clean summary, decisions, and action items with owners and due dates. Next, it updates your Google Doc template, posts a quick recap in Slack, and emails the full follow-up via Gmail. Some teams also log tasks to a table so nothing gets lost.
Not really. Most Flowpast workflows are plug-and-play: connect your accounts, choose a template, and you’re live.
For most teams, it removes the slowest parts: rewriting notes, formatting, and sending follow-ups. If you run 5–10 meetings a week, that’s often about 2 hours saved—sometimes more when you include the back-and-forth of “who owns this?” Automation also cuts the hidden cost of missed action items. One forgotten task can delay a campaign, a client deliverable, or a handoff. The ROI is usually speed plus fewer mistakes, not just time.
You need an n8n workspace (cloud or self-hosted) and access to the tools you want to connect—commonly Google Calendar, Google Docs, Slack, and Gmail. If you’re using AI summaries, you will also need an API key for OpenAI (or another supported model). Most workflows work best when your meetings have consistent titles and invite lists, and when you store notes in one place. Setup usually takes about 15 minutes, then you can refine the template over time.
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