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The Intention-Action Gap

The Intention-Action Gap

June 04, 2025

AI market research often mirrors human biases, replicating stated intentions rather than actual behaviors. However, by carefully selecting and calibrating AI models, synthetic research can bridge the critical gap between what consumers say they'll do and their real-world actions.

Correcting Bias in LLMs with DSPy

Correcting Bias in LLMs with DSPy

May 21, 2025

Left unchecked, large language models can massively distort reality. Our baseline simulation showed 90.6% of AI personas voting Democrat, a 40-point deviation from expected. But with DSPy optimization, we achieved near-perfect political balance, proving that prompt calibration isn’t optional, it’s essential.

Cheaters, Speeders, and Repeaters

Cheaters, Speeders, and Repeaters

May 20, 2025

Traditional surveys are overrun by cheaters, speeders, and repeaters, warping data and devouring your calendar. Validated AI personas slash the noise, delivering human-level insights with 85 % accuracy—no bribery, no burnout.

How AI Exposes Our Double Standards

How AI Exposes Our Double Standards

April 29, 2025

Polls say most of us believe in “equal justice,” yet the moment a headline names our hero or our villain, our moral math flips. In my latest experiment, I fed Rally personas a stream of fake social-media posts and hard coded them to have a favorite between Kanye and Will Smith. The result? Turns out AI has double standards. So do humans. We witnessed how virtual audience simulations could be used to pressure-test in silicon before PR teams click publish.