How I finished a 4-year-old AI project using 30 libraries I wrote in the meantime

Closing

The lesson I took from this finish is that big questions usually do

not need bigger answers. They need smaller infrastructure underneath

them. The 2022 me wanted a self-orchestrating AI cloud. The 2026 me

got the same thing, just bounded by a $0.50 cap and a domain

allowlist. That bound is what made the question shippable.

If you have an archived repo with a research question that was too

big four years ago, ask yourself: which boring parts have I built

since then? You might already be done.