AI-Powered CV Screener & Application Form Pre-filler
Integrates with:
Overview
Unlock Smarter, Faster Hiring with this AI Agent
This AI Agent revolutionizes your initial recruitment stages by intelligently processing CVs submitted via a simple web form. It automates the tedious tasks of document classification, information extraction, and data entry, freeing up your HR team to focus on engaging with the best candidates. The agent first verifies if an uploaded PDF is a CV. If valid, it uses OpenAI's language understanding to extract key details like name, contact information, education, skills, and years of experience, even drafting a contextual cover letter snippet based on the CV and a pre-defined job description. This structured information is then saved to Airtable, and the original CV is attached to the record. Finally, the applicant is redirected to a second form, pre-filled with the AI-extracted data, allowing them to review, amend, and submit their final application.
Key Features & Benefits
- AI-Driven CV Parsing: Leverages OpenAI to accurately extract essential candidate information (Name, Email, Skills, Experience, etc.) and generate a draft cover letter relevant to your job posting.
- Intelligent Document Classification: Automatically identifies if an uploaded document is a CV, prompting for a re-upload if not, ensuring data quality.
- Contextual Data Extraction: Tailors information extraction to a specific job description (customizable within the workflow) for maximum relevance.
- Automated Form Pre-filling: Significantly improves applicant experience by presenting a pre-filled application form for review and final submission.
- Seamless Airtable Integration: Creates and updates applicant records in Airtable, including attaching the original CV PDF, for easy tracking.
- Two-Step Application Process: Streamlines submissions, starting with a quick CV upload and followed by a review of AI-populated details.
- Reduced Manual Workload: Frees up HR personnel from hours of manual data entry and initial screening.
- Faster Time-to-Hire: Accelerates the recruitment cycle by quickly identifying and processing relevant candidate information.
Use Cases
- B2C E-commerce: Rapidly scale your customer service or logistics teams by automating the initial CV review. This AI agent extracts key candidate data from uploaded PDFs, classifies them, and pre-fills application forms, significantly reducing manual HR workload and speeding up time-to-hire.
- B2B SaaS: Accelerate your sales, marketing, or engineering recruitment. This AI agent intelligently parses CVs, understands candidate skills and experience in context of your job roles (customizable), and feeds structured data into Airtable, allowing your talent acquisition team to focus on qualified candidates faster.
- Solopreneurs/Founders: Streamline your early-stage hiring without a dedicated HR team. This agent automates CV processing, extracts vital information, and organizes applicants in Airtable, making it easier to identify and engage top talent efficiently.
- CTOs/Heads of Automation: Implement an intelligent, automated talent acquisition pipeline. This n8n workflow uses OpenAI to classify documents, extract job-relevant data from CVs, and pre-fill forms, demonstrating a powerful use case of AI in optimizing internal HR processes and reducing operational bottlenecks.
Prerequisites
- An n8n instance (Cloud or self-hosted).
- OpenAI API Key with access to a suitable model (e.g., gpt-3.5-turbo, gpt-4).
- Airtable account and a Personal Access Token.
- An Airtable Base pre-configured with a table. The table should include at least the following fields (text type unless specified):
Name
,Address
,Email
,Telephone
,Education
,Skills & Technologies
,Years of Experience
,Cover Letter
,Submitted By
, and anAttachment
field (for the CV PDF).
Setup Instructions
- Download the n8n workflow JSON file.
- Import the workflow into your n8n instance.
- Configure OpenAI Credentials:
- Locate the 'OpenAI Chat Model1' (linked to 'Application Suitability Agent'), 'OpenAI Chat Model2' (linked to 'Classify Document') nodes.
- For each, select or create your OpenAI credentials, ensuring your API key is entered.
- Customize Job Context for AI Extraction:
- Open the 'Application Suitability Agent' node (which is an LLM Chain node).
- In the 'Messages' parameter (specifically the user message), edit the prompt to include the specific job description you are hiring for. This provides context to the AI for relevant information extraction and cover letter generation.
- Configure Airtable Integration:
- Open the 'Save to Airtable' node. Select/create your Airtable credentials (using Personal Access Token). Enter your Airtable Base ID and Table Name. Map the fields accordingly.
- Open the 'Upload File to Record' (HTTP Request) node. In the 'URL' parameter, ensure
{{ $('Save to Airtable').params.base.value }}
correctly references your Airtable Base ID. Select your Airtable credentials. - Open the 'Save to Airtable1' node. Configure its credentials, Base ID, Table Name, and field mappings similarly to the first Airtable node. Ensure 'Matching Columns' (like Email, Name) are correctly set for updating records.
- Set Up Form Redirection:
- Open the 'Redirect To Step 2 of 2' node.
- In the 'Redirect URL' parameter, replace
<HOST>
with your n8n instance's full public base URL (e.g.,https://your-n8n.example.com
).
- Test and Activate:
- Save the workflow.
- The initial CV upload form will be accessible at
YOUR_N8N_BASE_URL/form/job-application-step1of2
(replaceYOUR_N8N_BASE_URL
with your actual n8n URL). - Test the entire flow with a sample PDF CV.
- Once satisfied, activate the workflow.
Want your own unique AI agent?
Talk to us - we know how to build custom AI agents for your specific needs.
Schedule a Consultation