Blogs

Large Language Models (LLMs) have unlocked extraordinary possibilities. But the excitement often hides a hard truth: without robust evaluation frameworks, LLM outputs remain unreliable, unaccountable, and unfit for production. LLM Evals are structured evaluations that test not only accuracy, but also latency (speed of response) and cost (efficiency at scale). In healthcare, where decisions affect both patient outcomes and billions of dollars in spending, all three dimensions matter. Read more >>

Startups are always characterized by ongoing tech and business intensity, ambiguity, pressure to grow fast, ship products, win customers, raise funding, and keep the lights on. Under intense pressure, even great teams crack if there is no clarity. People sprint in different directions, priorities shift weekly, and decisions get stuck in the fog. Read more >>

When most healthcare actuaries think about payment integrity within payers, they treat it as a financial exercise, making sure claims are paid correctly, at the right time and right price, reducing waste, and preventing fraud. While those are essential outcomes, framing payment integrity purely as a cost-control measure misses the deeper issue and breeds mistrust. Read more >>