HR & RECRUITING

Recruiter agent: rank Indeed applicants and stage the top tier

An autonomous recruiting agent reviews the day's Indeed applicants, ranks them against the open req, drafts personalized outreach for the top tier.

CategoryHR & Recruiting
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule starts the agent run for a req
  • ActionAgent fetches all applicants and resumes for the job
  • LogicAgent ranks pool relatively and selects a top tierOpenAI
  • ActionAgent drafts personalized outreach per top candidateOpenAI
  • OutputStage ranking and drafts in Airtable for approvalAirtableAirtable

What it does

This is an agent-driven daily recruiting pass. The agent pulls the full applicant pool for a req, reads each resume, builds a relative ranking instead of scoring in isolation, and decides which candidates clear the bar for outreach. For the top tier it drafts a personalized first-touch message referencing specifics from the resume, then stages everything in Airtable as proposed actions for a human to approve.

When to use it

Use it when you want judgment, not just a filter — comparing candidates head to head, weighing tradeoffs, and writing outreach that doesn't read like a template. Best for senior or competitive reqs where relative quality matters more than a fixed cutoff.

How it works

  1. 1A schedule kicks off the daily run for a specific Indeed req.
  2. 2The agent fetches all applicants and their resumes for that job.
  3. 3The agent ranks the pool relative to each other and the role, deciding a top tier.
  4. 4For each top-tier candidate it drafts personalized outreach grounded in resume details.
  5. 5It stages the ranking and draft messages in Airtable as proposed, pending-approval rows.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect OpenAIModels, embeddings, files.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    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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