The article discusses building an AI-powered web app for product managers using GPTs, no-code tools, and modern IDEs like Cursor and Bolt.
The process detailed in the article helps non-technical product managers create AI-powered tools without extensive coding or hiring a development team.
The focus is on combining AI tools, IDEs, and prompts to create a working software pipeline.
The author shares their experience of creating AIJobMatch.io, a tool designed to match job postings with resumes.
The journey started with a simple Python script to scrape job postings from the web.
The integration of document parsing and OpenAI API enhanced the tool's functionality.
The deployment process involved setting up an OpenAI account, utilizing the API keys, and deploying the tool on Google Cloud Run.
The author faced challenges such as LinkedIn blocking requests from GCP IPs, resolved by integrating proxy support via Bright Data.
The project transitioned from local deployment to cloud deployment, making AIJobMatch accessible to a broader audience.
The focus shifted towards making AIJobMatch production-ready after resolving deployment challenges.