I am building my MVP called Skill Sight, which helps with parsing of marketing professional resumes and does a diagnosis of their AI skills gaps and recommends learning path with free youtube videos. I have added all the relevant API keys despite this the AI gaps and learning path videos being recommended are the same ones. I tried troubleshooting multiple ways with Cursor Ask and other LLM’s but I keep getting the same info. Need help
Steps to Reproduce
I am adding a LOOM video to show you the issue
Expected Behavior
The priority gaps and youtube videos are same for different users.
Screenshots / Screen Recordings
Operating System
MacOS
Current Cursor Version (Menu → About Cursor → Copy)
Thanks for reporting this, @Ritesh_Bhatia! I want to make sure I understand the issue correctly so we can help you effectively.
From your description, it sounds like your Skill Sight application is producing the same AI skill gaps and YouTube video recommendations for different users, even though you’ve configured API keys.
To clarify:
Is this an issue with your application’s code/logic (the app you’re building produces identical results for different resumes)?
Or is this about Cursor not helping you debug the problem effectively?
If it’s #1 (application logic issue), here are some common debugging steps:
Check if there are hardcoded values in your code for the skill gaps or video recommendations
Verify your API calls are actually executing (add console logs before/after API calls)
Ensure resume data is being parsed correctly and passed to your recommendation logic
Check if there’s any caching or state management that might be reusing old results
Verify your YouTube API and other external API responses are actually different for different inputs
If it’s #2 (Cursor not helping), we can look into that separately, please share more details regarding that.
Super excited for you building your MVP with Cursor!