Lucas and Luna tackle the mechanics of debt repayment, focusing on credit cards and student loans. Each episode opens with a specific listener scenario—a $15,000 credit card balance at 22% APR, a nursing grad with $80,000 in federal loans—and works through payoff strategies using actual numbers. Lucas maps the math: avalanche vs. snowball, transfer fees, minimum payment traps, income-driven repayment caps. Luna pushes back on the human side: what happens when the 0% intro offer expires, how to handle a spouse who hides spending, whether to pause saving for a down payment. They name real lenders—Discover, Sallie Mae, SoFi—and cite Federal Reserve data on average balances and default rates. No motivational fluff. Every episode ends with a specific next step the listener can take that evening, from calling a servicer to recalculating a monthly budget. The core tension: the gap between what the algorithms recommend and what a real person can sustain over 36 months. For listeners who want a plan they can actually execute, not just inspiration.

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