About this app
What is Okey?
In June, Grasso wrote an opinion piece in the Chicago Tribune criticizing what he described as media coverage that unfairly associates Italian Americans with organized crime. However, he did not directly name Rovito in the piece.
“I’ve sadly watched some members of the Chicago news media stigmatize Italian Americans as Outfit members or mafia operatives whenever it serves to embellish a story,” Grasso wrote.
“The Outfit still sells, pathetically. It’s time that it stops. Or as I like to say: Basta. Enough.”
About Okey
Commercial sports betting generated just under $17 billion in nationwide revenue in 2025, which is why Davenport asserts that the “stakes of this case are exceptionally high”. Kalshi and Polymarket alone posted more than $45 billion in trading volume, which is similar but not identical to betting revenue, in August. That was a 15% decline from July, although that drop is attributed to the conclusion of the Fifa World Cup tournament that month per Yahoo! Finance.
The American Gaming Association estimates that the exchanges have siphoned more than $1.3 billion in would-be tax revenue from states. One of the AGA’s primary spokespeople pin its fight against prediction markets is former New Jersey governor Chris Christie, who championed the PASPA case to the Supreme Court.
As with PASPA, this matter revolves heavily around federalism versus states’ rights. Traditional sports betting is governed by individual state regulators with varying laws and regulations. Federal derivatives are regulated by the CFTC, which has fully embraced prediction markets under US President Donald Trump after rejecting them in previous administrations.
How to play Okey
Since then, it has evolved into something broader: a different development pipeline, a different role for developers and quality assurance (QA), a different way of organising teams and, increasingly, a different relationship with customers.
Cubeia’s first phase was an open approach to AI. Developers could use it whenever they wanted. Phase two brought structure, with everyone using the same agents and working through the same AI-driven pipeline. That required Cubeia to solve questions around quality, reliability and how agents could work together, while getting employees comfortable with the new way of working. Grenstad believes that work has largely been completed.
“During the hybrid period in Q1, Cubeia solved 259 issues. Once it moved to the AI-driven process, that figure rose to 421 – a 62% increase. Larger projects increased from 17 to 58. So the answer is yes: moving to AI-driven development has increased our output tremendously,” Grenstad says.