『DadSquadCast』のカバーアート

DadSquadCast

DadSquadCast

著者: Jon Wolheim Jeff Randall Allen Jordan Egbert
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Career dominance meets family presence. Podcast + brotherhood for ambitious dads. New eps weekly. Link below. BROTHERHOOD | MISSION | LEGACY 🔥

© 2026 DadSquadCast
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  • When It All Burns Down
    2026/07/14

    Your job can disappear in a single announcement. A town can disappear in a single morning. When that happens, it’s not just money on the line, it’s identity, confidence, and the quiet pressure a lot of dads carry to stay “the calm one” no matter what.

    We trade personal stories of when it all burned down: a sudden layoff with no home lined up, the long and messy road of rebuilding through travel and entrepreneurship, and the shock of watching a hometown get erased by wildfire. Along the way, we talk about the people who become the real heroes in these chapters, from first responders to small groups that coordinate help fast using modern tools and a lot of grit.

    Then we shift into what to do before the next fire: why your company can’t be the source of your meaning, how therapy and a real support team can keep you from becoming your own worst enemy, and how to prepare for AI-driven job disruption without spiraling. We share a simple approach to AI career resilience: don’t try to be the best at AI, become world class in your domain with AI layered on top, and build a personal brand rooted in authenticity so opportunity can find you.

    If you’re a dad whose life is on fire right now, you’re not alone, and you can survive this. Subscribe, share this with a friend who needs it, and leave a review with the one lesson you want other dads to hear.

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    51 分
  • BEAST LORE
    2026/06/30

    A 10,000-pound boulder, a stage stacked with real cash, and 2,000 contestants trying to read the future with zero info. We’re telling our Beast Games origin story as a squad, sharing the moments that bonded us fast, the hilarious mix-ups that came with the jerseys, and the Vegas “mental math” that had grown adults building alliances around games that never even existed.

    From Toronto prep to bus-ride puzzles, we get into the culture of sharing and over-preparing, including an early attempt at using an AI agent to study old game shows and predict what might come next. Then we relive the emotional gut-punch of thinking we were eliminated on the towers, hugging it out, and the instant high of getting pulled back in. If you’ve ever had a moment that flipped your mindset from “don’t lose” to “play to win,” you’ll feel this one.

    We also zoom out into the behind-the-scenes lessons: why Beast Industries moves like a founder-led startup, how Jimmy thinks in metrics and bottlenecks, and why “tell me how it can be possible” is a business mindset worth stealing. We end with gratitude for the crew who went above and beyond, the real impact of philanthropy and rare disease support, and a ridiculous pitch for what a Beast Games for dads would look like.

    If you enjoyed the laughs and the Beast lore, subscribe, share this with a friend, and leave a review. What would you put in a Beast Games for dads?

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    52 分
  • AI Ultraculture: How Beast Industries Becomes the Company Nobody Can Catch
    2026/06/22

    MIT looked at the flood of enterprise AI spending and landed on a brutal headline: about 95% of companies are getting zero return. That’s not because the models are weak. It’s because most organizations are deploying generative AI like a software add-on instead of rewiring how they operate. We get specific about what the 5% do differently, and why “speed of execution” now matters more than having the fanciest tools.

    We introduce a concept we’re calling AI ultraculture: a workplace where fear gets replaced by ownership, and where people understand why AI is important to the mission. From there, we unpack three practical moves: urgency that feels uncomfortable (think 90 days from pilot to production), a bottom-up AI roadmap that ends shadow AI and reduces confidentiality risk, and treating people as the moat because models and compute are quickly becoming commodities. We also talk about the investor lens, P&L pressure, and why cutting headcount can backfire by crushing morale, tribal knowledge, and real output.

    Then we go hands-on with tactics like agentic loops that continuously assess what your tools can do, what your team can do, and what the business needs next. We also challenge “token maxing” and argue for token mining: same output, 10–20x lower token cost by using premium models for strategy and lighter models for production. To make it concrete, we walk through Beast Industries as a case study and how AI culture, workflow redesign, data, and distribution could compound into outsized growth.

    Subscribe for more, share this with a leader who’s still stuck in AI pilots, and leave a review if it helped. What’s the single biggest bottleneck stopping your company from getting real AI ROI?

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    46 分
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