CoverUp: AI Cover Letter Writer
CoverUp is an AI-powered web app designed to streamline the job application process by crafting personalized cover letters. By inputting job titles, detailed job descriptions, and company names, along with your resume, CoverUp generates cover letters that not only match the job's requirements but also highlight your unique skills and experiences. This tool ensures that your application stands out by demonstrating how your specific background aligns with the role, making the tedious task of cover letter writing efficient and effective.
Full-Stack Developer
Javascript, Ruby, HTML, CSS, Adobe Illustrator
Challenge
The core challenge was to architect a web-based system capable of dynamically generating personalized cover letters based on semi-structured user input (job titles, company names, descriptions, and resumes). This required not only a robust backend capable of parsing and synthesizing text, but also a frontend that could guide users through a streamlined UX without introducing cognitive load. I needed to design an interface that abstracted complex functionality—like content parsing and tone matching—into a user-friendly form. The application leverages a Ruby and JavaScript backend for logic handling and prompt construction, while the HTML/CSS frontend ensures responsive, real-time feedback to user input. A key technical hurdle was balancing customization with consistency, ensuring that the generated letters maintained both semantic accuracy and professional tone across a wide range of user inputs.
Results
The final implementation successfully integrates frontend and backend components into a cohesive system that programmatically generates context-aware, role-specific cover letters. By applying NLP prompt engineering principles and string interpolation techniques, CoverUp achieves high alignment between user-provided data and job requirements. The modular architecture allows for scalable enhancements, including integration with resume parsers or LLM APIs. The project serves as a technical proof-of-concept for how generative systems can be embedded in job-seeking workflows to reduce friction and optimize content quality.
