> ## Documentation Index
> Fetch the complete documentation index at: https://docs.contactswing.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Build Automated Job Matching Workflows in ContactSwing Agentic AI

Learn how to build automated workflows in **ContactSwing** that trigger when new jobs are posted and automatically match qualified consultants using webhooks and API authentication.

## 🎥 Video walkthrough

<div class="card-video">
  <video src="https://storage.googleapis.com/helpsessionvideos/Contactswing/Videos/Workflows/Job-workflow.mp4" autoplay playsinline controls title="Automated Job Matching Workflow Walkthrough" />
</div>

***

## Step-by-step guide

<Steps>
  <Step title="Configure Job Posted">
    * **Trigger:** *New Job Posted (Webhook)*
    * **Workspace Key:** Enter your authentication key here.
  </Step>

  <Step title="ContactSwing (Get Matching Consultants)">
    * **Workspace Key:** Enter your authentication key here.
    * **Job ID:** Provide the corresponding Job ID for reference.
    * **Model:** Use a supported model such as `gpt-3.5-turbo` or later.

    **Example:**\
    When a new job is added in the staffing system, this workflow automatically identifies and matches the most suitable consultants for that specific job post.
  </Step>
</Steps>

***

## Workflow summary

1. **Trigger:** The workflow activates when a new job is posted via a webhook.
2. **Match consultants:** ContactSwing fetches and matches consultants based on job requirements.
3. **Generate recommendations:** AI ranks the best-fit consultants.
4. **Notify recruiters:** The system automatically alerts the recruitment team with recommended matches.

This automation eliminates repetitive manual searches, enabling faster and more precise consultant-job matching through ContactSwing Agentic AI.