This workflow automates the collection and screening of resumes in the recruitment process. It utilizes AI technology to accurately extract candidates' educational backgrounds, work experiences, and skills, and provides intelligent scoring based on recruitment needs. Ultimately, all candidate information is integrated and stored in Google Sheets, significantly improving recruitment efficiency and accuracy. Through end-to-end automation, it reduces the time and errors associated with manual screening, offering HR professionals and businesses an efficient and systematic candidate management solution.

This workflow automatically scrapes the latest job-related posts from the Hacker News forum, filters relevant information using the Algolia Search API, and retrieves detailed content through the official Hacker News API. It utilizes the OpenAI GPT-4o-mini model to clean and structure the text, ultimately storing the organized job information in an Airtable database for easier management and future use. This process achieves automated collection and structured storage of job information, enhancing data usability and retrieval efficiency.

This workflow automates the process of retrieving new emails with attachments from Gmail, extracting text from resume PDFs, using AI for intelligent analysis to score the resumes, and extracting key information about candidates. Finally, it organizes the results and inputs them into Google Sheets. By automating these processes, it significantly enhances recruitment efficiency, reduces manual operations, and optimizes data management, making it suitable for recruitment teams and HR departments, while improving the accuracy and convenience of resume screening.

This workflow primarily enables users to create, update, and retrieve profiles on the Humantic AI platform. Users can automate the extraction of information from LinkedIn, upload resumes, and generate personalized recruitment profiles through a simple manual trigger, significantly improving the efficiency and accuracy of profile management. This process is particularly suitable for recruitment teams, human resources departments, and individual career developers, addressing the challenge of updating user information in talent recruitment and management, and ensuring that profile information remains current and aligned with recruitment needs.

This workflow receives user-uploaded resume PDFs via Telegram, automatically extracts key information, and utilizes AI models for structured parsing to generate uniformly formatted PDF resumes. It supports efficient multi-dimensional data classification and display, automatically formats output, reduces manual intervention, and improves resume processing efficiency. It is suitable for human resources, recruitment platforms, job seekers, and educational institutions, enabling rapid generation and management of resumes.

This workflow automates the resume screening and evaluation process by utilizing AI models to deeply analyze candidate profiles and generate matching scores. The system can automatically send email notifications to candidates and HR, while also storing candidate information and scores in a database to ensure centralized management of information. This process significantly reduces the manual workload for HR, enhances the objectivity of evaluations, and facilitates real-time communication between candidates and HR, optimizing recruitment decisions and efficiency.

This intelligent recruitment candidate screening automation workflow utilizes ERPNext and advanced AI technology to achieve full-process management of resume parsing, job matching analysis, and hiring notifications. Through quantitative scoring and detailed assessments, this workflow significantly enhances the efficiency of resume screening and reduces the subjectivity of manual reviews. Additionally, it supports multiple file formats and automatically notifies candidates of hiring results via email and WhatsApp, optimizing the recruitment process and improving the efficiency of human resource management in the enterprise.

This workflow is designed to accelerate the recruitment process by automating the handling of resumes. It downloads resumes from a specified link, extracts the text, and uses advanced AI models to intelligently match and score candidates against job descriptions. The workflow not only provides a percentage of the match but also offers a summary of the candidate's strengths and weaknesses along with hiring recommendations, helping recruiters quickly identify suitable candidates and enhance recruitment efficiency and decision-making accuracy. It is suitable for recruitment agencies and corporate HR teams, significantly reducing the time and cost of manual screening.

This workflow facilitates the reception of user-uploaded resume PDF files from Telegram, automatically extracting and structuring resume information, including personal details, educational background, and work experience. By utilizing the OpenAI GPT-4 Turbo model for precise analysis, it generates an aesthetically pleasing HTML format, which is ultimately converted into a high-quality PDF document returned to the user. This process not only enhances the efficiency of resume processing but also optimizes the user experience, making it suitable for various scenarios such as human resources departments, recruitment platforms, and personal career development management.

This workflow provides AI-driven resume parsing services, capable of automatically converting uploaded PDF resumes into structured JSON format, thereby enhancing data processing efficiency. At the same time, the system accurately tracks each client's token usage and associated costs in the AI service, recording this information in Google Sheets for transparent billing. It automatically summarizes client data each month and generates electronic invoices, greatly simplifying the financial management process, making it suitable for various scenarios such as human resources, recruitment, and finance teams.

This workflow utilizes iPhone shortcuts and Webhooks to achieve location-based automated attendance management. Users can easily clock in and out using their phones, while the system automatically detects and creates Google Sheets documents to record check-in and check-out times, eliminating issues of missed clock-ins and cumbersome data entry. It is suitable for remote work, freelancers, and on-site staff, enhancing attendance accuracy and management efficiency, simplifying the attendance process, and providing a paperless smart office experience.

This workflow automates the processing of resume screening, classification, scoring, and status tracking through AI intelligent agents and automation tools. The system can parse candidates' PDF resumes in real time and match them with job descriptions, automatically archiving resumes into the corresponding folders based on scores, while also updating the candidate tracking sheet and sending email notifications. This significantly enhances recruitment efficiency, reduces manual intervention and subjective bias, making it highly suitable for the needs of human resources departments in bulk resume processing.

This workflow achieves comprehensive automation of the recruitment process through AI technology. Resumes submitted by candidates are automatically parsed, extracting key information such as educational background, work experience, and skills, and generating a concise candidate summary. The system intelligently matches candidate information with job requirements, providing a matching score and detailed comments. Ultimately, the results are structured and stored in Google Sheets for easy management and analysis. This process significantly enhances recruitment efficiency and reduces the error rate of manual operations.

This workflow automates the extraction of job postings from the "Who is hiring?" section on Hacker News. It precisely locates relevant posts using the Algolia Search API and retrieves detailed content through the official Hacker News API. The raw text is intelligently parsed using the OpenAI GPT-4o-mini model to generate structured job data, which is then stored in Airtable for easy management. This process significantly improves the efficiency of obtaining job information and addresses the issues of data fragmentation and inconsistent formatting, making it suitable for technical recruiters and data analysts.

This workflow creates an intelligent chatbot specifically designed for HR and IT service desks, supporting both text and voice interactions. It features audio transcription capabilities, converting employees' voice inquiries into text in real-time, and builds a knowledge base by analyzing internal policy documents to enable quick and accurate responses. By integrating advanced language models and vector databases, the chatbot can continuously remember the context of conversations, providing personalized support, effectively reducing the pressure on human customer service representatives, and enhancing the user experience.

This workflow automatically extracts contact information for birthdays occurring on the current day from Google Contacts every day and sends birthday reminders via Slack, ensuring that important birthdays are not forgotten. By utilizing scheduled triggers and filtering functions, it simplifies the process of sending birthday wishes, enhancing the atmosphere of care within the team and improving personal social efficiency. It is suitable for corporate teams or individual users and helps strengthen team cohesion and customer relationship management.

This workflow enables the automatic creation, updating, and retrieval of contacts in Google Contacts, greatly simplifying the contact management process. Users can complete the addition of new contacts, information updates, and data queries in one simple operation, enhancing work efficiency and information accuracy. It is particularly suitable for businesses, marketers, and customer service teams, helping them efficiently maintain contact information for clients and partners, while addressing the cumbersome and error-prone issues of traditional management methods.

The main function of this workflow is to intelligently match and merge interviewer information with employee profile data, achieving automatic conversion of data formats and ensuring precise association based on a unique ID. Through the merging operation, the system can effectively reduce the workload of manual comparisons, enhancing data consistency and accuracy. It is suitable for human resource management and recruitment process automation, helping enterprises quickly integrate and manage personnel information, thereby improving data quality and management efficiency.

This workflow provides efficient employee information management through the PayCaptain API, supporting employee search, detail retrieval, and information updates. Users can conveniently manage data through a compatible MCP client while implementing strict filtering on sensitive fields to ensure information security. All operations are recorded in Google Sheets, enhancing audit capabilities and improving transparency and compliance. This solution is particularly suitable for companies that need to centralize employee information management and prioritize data security, thereby increasing the automation and efficiency of human resource management.

This workflow utilizes AI technology to automate the processing of resumes and matching them with job applications. It supports the upload of resumes in PDF format, automatically extracts key information, and pre-fills application forms based on job requirements, significantly reducing the workload for both applicants and HR. Airtable is integrated as the backend database, facilitating centralized storage and management of resumes and application information, thereby enhancing recruitment efficiency and optimizing the candidate experience. This system is suitable for corporate recruitment websites and various job postings, promoting the intelligent automation of the recruitment process.

This workflow utilizes AI technology to automatically screen and score candidates' resumes, intelligently matching and analyzing resumes against job descriptions to generate compatibility scores and interview recommendations. At the same time, it automatically sends confirmation emails to candidates and records the information and scores in Google Sheets for easy HR management. This system effectively reduces the time and misjudgments associated with manual initial screening, improving recruitment efficiency and accuracy, particularly suitable for handling a large volume of resumes for technical positions.