Work
Problems we were hired to make smaller.
A few recent engagements. Each one names the constraint, what we refused to build, and the result someone outside the project could check.
Systems that spend
Featured
What a 2 a.m. war room teaches about governing AI.
Before AI agents, our war rooms were smart-contract pools holding $3M. The discipline is identical: systems that move value need boundaries, drills, and a second pair of senior eyes.
$3M
value under review scope
ReadZero-to-one
Shipping the thing that did not exist yet.
DeFiZap won Kyber's global hackathon in 2019, then merged into Zapper. One-click access to positions that previously took twelve transactions.
1st
place, Kyber global hackathon
ReadIncentive design
Adversarial thinking, from vote-buys to agent exploits.
A DAO launch with 46% of votes concentrated; one afternoon of simulation surfaced a ~$870K attack. The method now prices agent failure modes.
$870K
attack cost surfaced in simulation
ReadGovernance
Controls that satisfy operations and regulators at once.
Tokenization delivery on Singapore's first MAS-regulated private securities exchange — where nothing ships without an owner and a procedure.
1st
MAS-regulated private exchange delivery
ReadAI operations
From $25k a month to under $1k with agent fleets.
At BuildBear Labs, a 17-person operation was automated into autonomous agent fleets — the FinOps proof behind everything UV Labs now advises.
25x
operating cost reduction
Read
Start with the constraint, not a capability deck.
Tell us what you are trying to change. We will tell you honestly whether we are the right team — usually within one business day.