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What This Playbook Covers

If you're spending more time on paperwork than people, these five AI agent workflows can give you back 26-27+ hours a week. Unlike ChatGPT, which requires manual copying and pasting, AI agents work autonomously—monitoring your systems, pulling data, making updates, and handling tasks while you focus on candidates. This guide walks through each workflow, how it works, and how to set it up for your team.

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Understanding the Challenge

Recruiting is about connecting with people and building great teams. Yet the role often involves significant time spent on administrative tasks: reviewing resumes, preparing questions, documenting conversations, and compiling feedback.


Why Agents, Not ChatGPT?

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Most AI tools work like a regular chat: you ask a question, it gives you an answer. Agents are different. They don't just reply. They take action.

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💬 ChatGPT = Answers

With ChatGPT, you manually:

  1. Copy candidate info from your ATS
  2. Paste it into ChatGPT
  3. Wait for a response
  4. Copy the output
  5. Paste it back into your ATS
  6. Repeat for every single candidate

Result: You're still doing all the work

🤖 Agent = Work Done

With agents, you automate:

  1. Set up the workflow once
  2. Agent monitors your ATS 24/7
  3. Pulls candidate data automatically
  4. Evaluates against job requirements
  5. Updates statuses directly in your ATS
  6. Runs continuously without your involvement

Result: The work happens automatically


The Five Workflows

🔎 Workflow #1: Candidate Sourcing

What It Does

Finds and matches the most relevant candidates for a given role: analyzes the job description, builds a sourcing strategy, searches across your sourcing tools, enriches profiles with contact details, and returns a ranked shortlist with clear reasoning.

Time saved: 10+ hours per week

How To Create Agent

  1. Open link – Create an agent
  2. Paste the following prompt

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