HR & RECRUITING

Loom intake agent: full req orchestration

An agent that takes a hiring manager's Loom intake, drafts the structured req in Notion, schedules a kickoff with the recruiter, and posts a summary to the hiring channel.

CategoryHR & Recruiting
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew hiring-manager Loom intakeLoomLoom
  • ActionAgent interprets transcript and role contextOpenAI
  • ActionCreate structured req in NotionNotionNotion
  • ActionSchedule recruiter kickoff on calendarGoogle CalendarGoogle Calendar
  • OutputAnnounce open role in SlackSlack

What it does

Runs the entire post-intake handoff as one agent-driven flow. From a single Loom recording, it builds the structured job req in Notion, books a recruiting kickoff on the recruiter's calendar, and announces the open role in the hiring Slack channel. The agent reasons over the transcript to decide level, scope, and urgency rather than just filling slots.

When to use it

Use it when you want a hands-off intake-to-kickoff pipeline and the role variety is high enough that rigid field mapping breaks down. Best for org-level recruiting coordination where multiple downstream systems must stay in sync.

How it works

  1. 1A hiring manager's new Loom triggers the agent.
  2. 2The agent fetches the transcript and interprets the role, urgency, and team context.
  3. 3It creates a structured req page in the Notion Open Reqs database.
  4. 4It schedules a kickoff meeting with the assigned recruiter via Google Calendar, timed to the role's urgency.
  5. 5It posts an announcement with the req link and kickoff time to the hiring Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Connect Google CalendarEvents, attendees, availability.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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