AI Resume Parsing and Client Usage Billing Tracking

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.