agent hive

HR & RECRUITING

Reference Check Collector at Offer Stage

When a candidate reaches the offer stage, it emails their listed references a structured questionnaire, collects responses via webhook, summarizes them with an LLM.

CategoryHR & Recruiting
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerCandidate moved to Offer Stage in AirtableAirtableAirtable
  • ActionEmail reference questionnairesGmailGmail
  • ActionCollect responses via webhook into AirtableHTTP webhook
  • LogicWait until all references respond
  • ActionSummarize reference feedback with LLMOpenAI
  • OutputPost reference report to hiring channelSlack

What it does

Automates the reference-check step that usually stalls offers. As soon as a candidate is moved to offer, it reaches out to each reference with a consistent set of questions, gathers the replies, and produces a single readable summary for the hiring manager to sign off on.

When to use it

Use this at the final gate before an offer goes out, when you want every hire backed by documented references without a recruiter chasing emails manually. Best for roles where references are required by policy.

How it works

  1. 1The trigger fires when a candidate's Airtable status becomes "Offer Stage".
  2. 2Gmail sends each listed reference a structured questionnaire with a unique response link.
  3. 3A webhook receives each completed response and appends it to the candidate's reference records in Airtable.
  4. 4Once all references reply, an OpenAI call summarizes the feedback into strengths, concerns, and an overall signal.
  5. 5Slack posts the consolidated reference report to the hiring channel and the summary is saved on the candidate record.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect GmailRead, draft, send, label.
  3. 3
    Connect HTTP webhookTrigger any URL on agent actions.
  4. 4
    Connect OpenAIModels, embeddings, files.
  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.

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