Block 1 - Webhook
- Type / Role
- n8n-nodes-base.webhook - webhook
- Config choices
- Version 2.1
This workflow is provided as-is. Please review and test before using in production.
What This Workflow Does This workflow automates the candidate nurturing process, solving the common problem of candidates losing interest or "ghosting" after an application. It keeps them engaged a...
n8n-nodes-base.webhook, n8n-nodes-base.datetime, n8n-nodes-base.set, n8n-nodes-base.code, n8n-nodes-base.wait, n8n-nodes-base.noop, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.mcpclienttool
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Recrutei Automações .
Original n8n.io sourceThis workflow automates the candidate nurturing process, solving the common problem of candidates losing interest or "ghosting" after an application. It keeps them engaged and informed by sending a personalized, multi-channel (WhatsApp & Gmail) sequence of follow-up messages over their first week.
The automation triggers when a new candidate is added to your ATS (e.g., via a Recrutei webhook). It then uses AI to generate a custom 3-part message (for Day 1, Day 3, and Day 7) tailored to the candidate's age and the specific job they applied for, ensuring a professional and empathetic experience that strengthens your employer brand.
Separating information) extracts key fields and formats the phone number. The second (Extract age) calculates the candidate's age from their birthday to be used by the AI.AI Recruitment Assistant). The AI has a detailed system prompt to generate three distinct messages for Day 1 (Thank You), Day 3 (Friendly Reminder), and Day 7 (Final Reinforcement), adapting its tone based on the candidate's age.Separating messages per days) receives the single text block from the AI and splits it into three separate variables (day1, day3, day7).day1 message via both Gmail and WhatsApp (configured for Evolution API).day3 message.day7 message, completing the 7-day nurturing sequence.This workflow is plug-and-play once you configure the following 5 steps:
AI Recruitment Assistant node, select or create your OpenAI API credential.MCP Recrutei node.Message Gmail nodes (Day 1, 3, 7), select or create your Gmail (OAuth2) credential.Sender Name from your_company to your actual company name.Message WhatsApp nodes (Day 1, 3, 7), you must:{server-url} and {instance} with your Evolution API details.your_api_key with your actual Evolution API key.This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | AI-powered candidate nurturing with scheduled WhatsApp & Gmail follow-ups |
|---|---|
| Complexity | advanced |
| Nodes | 24 |
| Categories | HR, Multimodal AI |
| Author | Recrutei Automações |
| Published | 22 Oct 2025 |
Use the JSON export at /data/workflows/10061/10061.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
What This Workflow Does This workflow automates the candidate nurturing process, solving the common problem of candidates losing interest or "ghosting" after an application. It keeps them engaged a...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your HR, Multimodal AI use case.