This article provides a complete, practical walkthrough of the Wait Webhook Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   **Title:**  
   From Resume to Interview: Automating Recruitment with n8n, Google Gemini, and ElevenLabs
   
   **Meta Description:**  
   Discover how recruiters can streamline candidate screening and behavioral interviews using an AI-powered n8n workflow that integrates Google Gemini, ElevenLabs, and Notion ATS. From resume analysis to real-time AI-led interviews, this workflow transforms how companies hire.
   
   **Keywords:**  
   n8n workflow automation, AI recruitment, Google Gemini, ElevenLabs, Notion ATS, resume screening automation, AI interview assessment, HR tech, behavioral interviews, applicant tracking systems
   
   ---
   
   **Article:**
   
   # Revolutionizing Talent Acquisition: How an n8n Workflow Automates Resume Screening and AI Interviews
   
   Recruiting top talent is both an art and a science, but tech is making the science part more intelligent and scalable than ever. A powerful n8n workflow—dubbed “Resume Screening & Behavioral Interviews with Google Gemini, ElevenLabs, & Notion ATS”—now automates every step, from candidate application to interview evaluation and applicant tracking.
   
   By integrating cutting-edge AI tools like Google Gemini and ElevenLabs, and utilizing the organizational power of Notion, this fully automated system evaluates resumes against job descriptions, conducts AI-led behavioral interviews, and compiles results into neatly structured applicant profiles. Let’s explore how this remarkable setup works.
   
   ---
   
   ## A Seamless Candidate Journey
   
   ### 1. Application Form Submission
   
   The journey begins when a candidate applies via a Notion-hosted job board. One of three n8n form triggers (each representing a specific job role) captures essential application data: name, email, and resume (PDF format), along with a hidden Job Code for role matching.
   
   The uploaded resume is then saved to a designated Google Drive folder and parsed using built-in PDF extraction. Key data fields like educational qualifications, job history, skills, and total years of experience are extracted and structured using n8n's Langchain integration.
   
   ---
   
   ### 2. AI-Powered Resume Evaluation
   
   The system uses Google Gemini—an advanced LLM by Google—to summarize the applicant's qualifications. It also pulls role-specific job descriptions directly from a Notion ATS database, based on the Job Code provided in the form.
   
   With both the applicant’s summarized profile and the job description in hand, the HR assessment node (“HR Expert”) kicks in. Acting as a virtual recruiter, it compares the two and assigns a resume score from 1-10, along with an insightful rationale.
   
   ---
   
   ### 3. Applicant Record Creation and Backup
   
   Once the AI evaluation is complete, the system generates a rich applicant profile in Notion, embedding data such as:
   
   - Resume score
   - AI-generated resume assessment
   - Summary of qualifications
   - Skills
   - Education, job history, and experience
   - Contact information
   
   Simultaneously, this data is backed up in a Google Sheet for audit compliance and hiring analytics, ensuring redundancy and easy reporting.
   
   ---
   
   ### 4. Human-in-the-Loop: Screening and Interview Invitation
   
   After the resume assessment, hiring managers review applicants in the Notion ATS dashboard. Qualified candidates are then moved to the next phase—an instant, AI-conducted behavioral interview powered by ElevenLabs.
   
   This "human-in-the-loop" checkpoint prevents false positives and gives a final layer of human oversight, ensuring AI supports, but doesn't replace, decision-makers.
   
   ---
   
   ## AI-Driven Behavioral Interviews
   
   ### 5. ElevenLabs Conversation Agent
   
   The selected candidates are invited to a behavioral interview hosted by ElevenLabs’ AI voice agent. At the end of the conversation, a webhook automatically sends:
   
   - Candidate responses
   - Evaluation results for specific criteria (e.g., problem-solving, handling escalations)
   - Full audio transcript
   - Candidate identifiers (phone number, name)
   
   These values are immediately captured by the workflow and passed into a language models-based assessment step.
   
   ---
   
   ### 6. AI-Powered Interview Scoring
   
   Leveraging Google Gemini and customized prompts, a Langchain AI agent evaluates the full transcript using relevant evaluation criteria pulled from Notion. It outputs:
   
   - A summary of the interview
   - A score from 1–5
   - Confirmation that role-specific criteria were applied
   
   This structured insight is stored in Notion under the applicant's profile. The interview audio is also uploaded to Google Drive, and its link is embedded in the Notion profile for transparency and validation.
   
   ---
   
   ### 7. Final Review and Automation of Next Steps
   
   In the final human-in-the-loop stage, hiring managers can view all relevant data—resume, AI assessments, interview summary, and audio—in the Notion dashboard. Applicants progressing to the next stage can be scheduled for a live interview simply by dragging their profile to the next column.
   
   ---
   
   ## A Game-Changer in Recruitment
   
   This n8n workflow demonstrates the future of smart hiring:
   
   - Eliminates repetitive manual work
   - Increases candidate screening accuracy
   - Ensures standardized, bias-mitigated interviews
   - Provides complete transparency for human review
   - Seamlessly integrates multiple systems in a no-code environment
   
   It’s built for scale, sophistication, and speed—perfect for startups and growing businesses looking to hire smarter, not harder.
   
   ---
   
   ## Third-Party APIs and Tools Used
   
   1. **Google Gemini (PaLM) API**  
      - Language model for summarizing resumes, job descriptions, and interview assessments
   
   2. **ElevenLabs API**  
      - Voice AI for conducting behavioral interviews and capturing responses
   
   3. **Notion API**  
      - Stores applicant profiles, job descriptions, and evaluation criteria  
      - Serves as the ATS and centralized dashboard for recruiters
   
   4. **Google Drive API**  
      - Saves resumes and interview audio files
   
   5. **Google Sheets API**  
      - Logs applicant data for compliance and reporting purposes
   
   ---
   
   By combining the precision of AI with the flexibility of no-code automation, this workflow is a blueprint for transforming any company’s recruitment engine. Whether you’re screening ten applicants or ten thousand, the future of HR isn’t just digital—it’s intelligent.
   
   ---
   
   Let the future meet your recruitment needs—automate smarter with n8n.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.