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The book enjoyed a steady diet of low-scoring primetime games in Week 1, but Week 2 began with an all-you-can-eat touchdown buffet for bettors on Thursday night,” Feazel said. “Seven of the eight most popular touchdown scorers cashed, and the only player who failed to score, DJ Moore, was refunded under Injury Protection.”

The biggest game for bettors at Caesars Sportsbook was Lions-Bills, while the most favorable for the house was Vikings-Bears—a 9-3 defensive battle won by Minnesota.

“Sunday early games brought a sharp reversal,” Feazel said. “Underdogs and defenses came out swinging, offenses went quiet, and touchdowns were much harder to locate. In Week 1, it felt like everyone with a jersey found the end zone. This Sunday, even the end zone required a reservation.”

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That is because trading on prediction markets is illegal down under, according to the Australian Securities and Investment Commission, the nation’s regulator on financial services. Last month, in perhaps the ASIC’s strongest warnings yet against the asset class, the commission reiterated that prediction markets are not licensed as financial markets to operate in Australia. Through the guidance, the regulator urged consumers to exercise caution before partaking in certain investments on offshore platforms which have not obtained licensing nationwide.

The advisory could be music to the ears of NFL Commissioner Roger Goodell, whose league has pushed a federal derivatives regulator in the US to enact more rigorous standards to help protect the integrity of professional sports. Ahead of the matchup, Goodell spoke with CNBC from Melbourne.

“We think there needs to be stronger regulations into the predictive markets,” he said. “We want to see that to protect the integrity of our game – we want to make sure we are protecting the consumers that are on those platforms.”

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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.