/* STEAM ORACLE */

Steam Oracle began because I wanted an easier way to find games I would
actually want to play on the Steam store.

One day, I decided that I wanted to learn more Python. What started as a
learning project kept growing. I went all out and built a complete site for
searching, filtering, comparing, and recommending games using real Steam data.


/* THE HUMAN PART */

I chose the idea, the direction, and what the site should become. I decided
which features were useful, tested the results with real accounts, caught bad
recommendations and incorrect data, questioned things that felt wrong, and
kept refining the experience until it worked the way I wanted.

This project grew through a lot of iteration: try something, use it, notice
what could be better, and improve it again.


/* HOW AI HELPED */

I used AI openly as a coding and development partner. It helped me learn,
explain unfamiliar concepts, draft and revise code, investigate bugs, build
tests, and work across Python, FastAPI, SQLite, HTML, CSS, and JavaScript.

AI accelerated the implementation, but I supplied the purpose, context,
decisions, taste, testing, and final judgment. It was not a one-prompt project.
The site was shaped through an ongoing collaboration between a person with a
specific problem to solve and AI tools that helped turn those ideas into a
working application.


/* THE RESULT */

I set out to learn more Python and make finding games easier. I ended up going
much further than I expected and made Steam Oracle.

Steam Oracle is an independent project and is not affiliated with Valve
Corporation or Steam.