Scoring resumes from your inbox — straight into a table

Catches emails with resumes, extracts the text, scores the candidate with AI on experience and fit for the role and adds the score as a row in a table.

  • Resumes from your inbox scored automatically
  • AI gives a score and a short note
  • Scores collected in one table
  • Strong candidates stand out at once

How it works

To create Lemlist records from stepik without manual input, use a ready-made scenario.

  1. Starts when: Trigger on new Email Received
  2. Then: Extract text from PDF File
  3. Then: AI Agent to evaluate Resume
  4. Then: Add Resume Evaluation to Google Sheets
  5. Then: Structured Output Parser
  6. Then: OpenAI Chat Model (GPT 4o-mini)

You can launch this stepik + Lemlist integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.