HR & RECRUITING

AI Resume Screening and Shortlist Scoring

Reads each new candidate's resume, scores it against the job's must-have criteria with an LLM, and updates Airtable with a fit score plus a shortlist or reject recommendation.

CategoryHR & Recruiting
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew candidate record in AirtableAirtableAirtable
  • ActionFetch resume file from Google DriveGoogle DriveGoogle Drive
  • ActionScore resume vs. role criteria with LLMOpenAI
  • LogicCompare score to shortlist threshold
  • OutputWrite score and status back to AirtableAirtableAirtable

What it does

Gives every applicant a consistent first-pass review. It pulls the resume, evaluates it against the structured requirements for the role, and writes back a 0-100 fit score, a short rationale, and a recommendation so recruiters spend their time only on candidates worth a human look.

When to use it

Use this when a single req draws dozens or hundreds of applicants and manual screening is the bottleneck. It standardizes judgment across reviewers and surfaces strong candidates the same day they apply.

How it works

  1. 1The trigger fires when a candidate record in Airtable flips to status "New".
  2. 2The flow fetches the resume file from Google Drive using the link on the record.
  3. 3An OpenAI call evaluates the resume text against the role's must-have and nice-to-have criteria and returns a structured score, rationale, and flag.
  4. 4A branch compares the score to your threshold to decide shortlist versus reject.
  5. 5The flow updates the Airtable record with the score, rationale, and new status ("Shortlisted" or "Screened Out").

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect Google DriveDocs, sheets, slides, files.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    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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