Projects
Every project ends in something real. Filter by what you want to make, or the career you want to try on.
Every project ends in something real. Filter by what you want to make, or the career you want to try on.
Showing 2 of 37 projects ·
You're going to build an AI that answers questions using only your own notes, links, and documents, and that you can trust because every answer shows you the source it came from. The skill is grounding: getting an AI to answer reliably from a specific body of knowledge and verifying it against the sources instead of taking its word. That's RAG, one of the most in-demand things AI application builders do (every company wants an AI that knows their own stuff), and doing one tells you fast whether building trustworthy knowledge tools is your kind of work.
You're going to build an AI app that does a real job for a real user, then make it reliable enough that they can actually depend on it. The skill is eval-hardening: writing a test set of normal and adversarial cases, finding where the AI breaks, deciding what 'reliable enough' means for your user, and fixing the worst failures. That's what AI engineers actually spend their time on and the part of the work that's becoming a real career, and doing one tells you fast whether making an unpredictable system trustworthy is your kind of work.