Harder Than It Looks: Parking Uncovered
In this episode of Harder Than It Looks, host Brian Wolff is joined by Jake Miller, Co-Founder and CEO of ZIVIS, to explore what happens when software evolves into intelligence and what it really takes to trust it. With a career spanning large scale platforms, startup innovation, and now AI security, Jake brings a systems level perspective to one of the fastest moving shifts in technology. Jake’s journey started in networking and software engineering and expands into linguistics, entrepreneurship, and ultimately AI. He shares how thinking in systems shaped his career and the why the future belongs to those who can navigate and manage intelligent systems rather than just build them. Brian and Jake dive into ambient intelligence, the changing nature of work, and why discernment is becoming one of the most valuable skills in the AI era. They also tackle a critical topic for any operator adopting AI: trust. Jake explains why security is no longer a one-time checkbox and must become a continuous discipline. The adoption of AI is a direct challenge facing our industry today. As systems grow more complex and data becomes more abundant, the opportunity shifts from managing tools to interacting with intelligence. Key Takeaways 1. AI is changing how we interact with technology. The shift is moving from structured tools to natural language interaction, where systems respond more like collaborators than software. 2. Discernment is the new competitive advantage. AI can generate outputs at scale, but human judgment determines what is useful, accurate, and valuable. 3. Start small with AI by improving your workflow. Your inbox, calendar, and daily processes are the easiest entry points to begin realizing immediate value. 4. Existing companies have an advantage in AI adoption. Even messy data is valuable. Organizations that already have data can reverse engineer insights and accelerate faster than starting from scratch. 5. Trust in AI must be continuous, not static. AI is changing how we interact with technology. Security, governance, and ethical use require ongoing monitoring, testing, and adaption as AI continues to evolve. Episode Highlights [02:00] Jake shares his early career in networking and software engineering and his fascination with systems thinking. [06:30] How a background in linguistics unexpectedly became foundational in the age of generative AI. [10:30] The shift from traditional SaaS tools to conversational, AI driven workflows. [15:00] Why discernment and “taste” matter more as AI generates more content. [20:00] What ambient intelligence looks like in practice and how it changes data interaction. [27:00] Where to start with AI adoption using your inbox and daily operations. [34:00] The difference between AI native companies and those adapting existing systems. [36:30] Why AI security requires continuous testing and new approaches like threat modeling. [41:00] Real world examples of prompt injection and how vulnerabilities can persist across systems. [45:00] Practical advice for parking operators looking to adopt AI responsibility. Notable Quotes “Don’t limit limit yourself and edit yourself while you are working. Let it all out. Then go back and apply judgment. – Jake Miller “Don’t write it. Reverse engineer it. Go to your data and say ‘I need a modern version of this output, how it works today.’”– Jake Miller “If you’re starting out and you’re asking yourself the question ‘What do I do with this AI thing?’ My very first answer would be ‘How do you improve your personal workflow?’” – Jake Miller About the Guest: Jake Miller is the Co-Founder and CEO of ZIVIS, where he is building the next generation of AI trust and security systems for organizations operating in real world environments. Jake has 25+ years of experience in software engineering and product development. He has led teams at ExactTarget Salesforce Marketing Cloud and has helped dozens of startups bring products from ideas to market. Known for his systems thinking and deep technical expertise, Jake focuses on helping organizations navigate the complexity of AI while maintaining trust and security.
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