The cost of making things collapsed. The cost of trusting them didn't.
Tashika builds the instruments that read whether AI-generated work holds up — and whether anyone still understands it.
Verifiable work is becoming the scarce input.
One through-line: measurement. Everything we build reads a legibility state and watches it for drift.
Three things happened, in order.
Generation got cheap.
Anyone can produce a draft, a design, a whole system in seconds.
Verification became the bottleneck.
The slow, expensive step is no longer making the work. It's confirming the work is right.
Comprehension is what no one measures.
A team can ship work that passes every check and that no human actually understands. The gap stays invisible until something breaks.
Three quantities, read at every layer.
Legibility isn't one number. It moves on three axes, and they move independently.
How much of the work is pinned to something checkable.
What neither captures. We report it as a bound, never as zero.
Everything we build watches for one thing — drift: work quietly diverging from the verified state it began in.
We write the argument out in full. Read it when it lands.