Build to Learn

Theory only gets you so far. I'd rather build a rough prototype and learn from what breaks than spend weeks planning the "perfect" solution.

What This Means in Practice

Some of my best learning has come from watching something fail spectacularly. When I built the first version of G.H.O.S.T., it crashed constantly — but each crash taught me something the documentation never would have.

I believe in getting something working quickly, even if it's ugly, then improving it based on real feedback. Perfection is the enemy of progress.

Why It Matters

• Real-world testing reveals problems that theory misses
• Fast iteration beats slow planning in most cases
• Failure is data — it tells you exactly what needs to change
• Momentum matters: a working prototype builds confidence and clarity