No-code meets AI
How to build an AI-powered cover letter builder with 0 code.
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In today's highly competitive job market, finding the perfect job can be a daunting task. Job seekers often spend countless hours crafting cover letters, researching companies, and preparing for interviews. However, there's a game-changer in town, and its name is CoverDoc. Created by Ambar Shrivastava, CoverDoc is an innovative research and writing assistant designed to streamline the job search process. In this blog post, we'll dive into the story of CoverDoc and how it was made.
Ambar graciously shared free access to CoverDoc.
The Birth of CoverDoc
Ambar didn't set out to create a public product initially. He developed CoverDoc to solve a problem he encountered himself. Starting his job search journey after a long hiatus in November, Ambar recognized the inefficiencies and challenges in the job search process. Inspired by his own needs, he set out to create a solution that would simplify and accelerate the job search for himself.
Realizing that he was onto something valuable, Ambar decided to validate the demand for his solution. He created a landing page and invited people to sign up for early access. The response was extremely positive. A Reddit post garnered around 400 sign-ups in a single weekend, and that's when CoverDoc truly took flight.
CoverDoc doesn’t just use your CV and company information to write the cover letter and get role-specific interview prep. It also looks at recent news, funding rounds and much more to come up with effective data.
A No-Code Approach
Ambar's background in web development over two decades ago helped him embark on this journey. However, he had to relearn JavaScript to bring his vision to life. Leveraging the power of ChatGPT and code interpreters, he tackled specific coding challenges along the way.
One of the remarkable aspects of CoverDoc's development is its reliance on no-code and low-code tools. The initial version used Airtable forms to request cover letters, which were then connected through Zapier to OpenAI. Ambar further enhanced the user experience by building a front-end using Softr.io. These no-code tools allowed him to bring his product to life swiftly and effectively.
User-Centric Feedback and Improvement
Each document created by CoverDoc is rated by users, assessing its overall quality, accuracy, personalization, and relevancy. Users can also provide open-text feedback to offer specific insights. This multi-dimensional approach to feedback enables Ambar to understand the product's strengths and weaknesses.
Furthermore, in-app surveys gauge user satisfaction with the experience, helping identify areas for improvement at a broader level. By listening to his users and identifying patterns in their feedback, Ambar ensures that CoverDoc remains user-centric and continually evolves to meet the changing needs of job seekers.
The Future of CoverDoc
CoverDoc is not just a one-trick pony. With six months of public user data at his disposal, Ambar is exploring new horizons. He's discovered a particular user segment—immigrants and international students—who face unique challenges in the job market. This insight has led him to contemplate new features, including salary negotiation assistance, personalized advice on job offers, and even 30-60-90 day plans to help newcomers acclimate to their roles.
CoverDoc's journey is far from over. Ambar envisions a future where the product continues to empower job seekers at every stage of their career, from the initial application to on-the-job support and growth.
As the job market evolves, CoverDoc stands ready to help job seekers navigate the challenges and opportunities that lie ahead. The future is promising, and CoverDoc is at the forefront of a new era in job searching.
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