Inspire AI: Transforming RVA Through Technology and Automation

Episode

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  Ep 92 - Clarity Before Certainty: Transformational Leadership In The AI Age 17.08.2026 9mnt

  Send us Fan Mail AI is moving into your workplace whether leadership feels ready or not, and that reality creates a dangerous gap: employees are already experimenting while executives are still debating permission. We start a new Inspire AI series by naming the real challenge for leaders in the age of AI: learning how to lead while everything around you changes, and giving people clarity before certainty exists. We unpack transformational leadership through the classic “four I’s” frame...
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  Ep 91 - How Artificial Intelligence Helps You Learn Faster And Build Better Habits 10.08.2026 12mnt

  Send us Fan Mail AI headlines love extremes: total automation or sci-fi superintelligence. We take a different angle and ask a more personal, more practical question: can AI help us become better versions of ourselves? When you stop treating AI like a shortcut machine and start using it like a coach, tutor, analyst, and thought partner, the real value shows up in how you think, how you learn, and how you decide. We dig into the evidence behind measurable productivity gains for knowledge work...
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  Ep 90 - Loop Engineering: When Intelligence Gets Cheap, What Still Wins? 03.08.2026 11mnt

  Send us Fan Mail Prompt tricks used to feel like the whole game. Now AI coding agents can run commands, inspect logs, edit multiple files, and stay on task for hours, and that changes what “good” looks like in AI-enabled software development. We dig into loop engineering, the idea that the biggest gains come from designing the system around the model: clear objectives, objective verification, structured feedback, smart retries, and a clear point where the agent stops or escalates to a human. ...
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  Ep 89 - Making the Invisible Visible: Enterprise AI Accountability w/ Ben Hawkins 27.07.2026 38mnt

  Send us Fan Mail AI doesn’t fail in enterprises because the model isn’t impressive. It fails because nobody can answer the uncomfortable questions: who owns the data, who carries the liability, and what “trust” even means when software can hallucinate with confidence. We sit down with Ben Hawkins, a technology transactions lawyer working at the intersection of AI commercialization, enterprise software, and governance, to unpack the hidden layer that decides what actually gets deployed. We ta...
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  Ep 88 - Debugging Human Communication w/ Andrea Goulet 20.07.2026 59mnt

  Send us Fan Mail The biggest risk in an AI-powered organization isn’t a lack of intelligence, it’s a lack of shared meaning. As tools get faster and output gets cheaper, teams can still stall, ship the wrong thing, or quietly lose trust because the human communication system can’t keep up with the speed of automation. That’s why I sat down with Andrea Gulet, founder of Debugging Human Communication and a longtime software industry leader, to treat communication like infrastructure you can act...
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  Ep 87 - The AI Native Organization 13.07.2026 13mnt

  Send us Fan Mail Software is slipping from “hard to produce” to “easy to generate,” and that single change forces a rethink of how we build companies, teams, and careers. When AI compresses planning, implementation, and iteration, the bottleneck moves away from writing code and toward directing intelligence. We zoom out on what happens when creation becomes abundant and the economics of software engineering shift from capacity to coordination. We break down what an AI native organizati...
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  Ep 86 - Staying Competitive: Build A Resilient Engineering Career With AI 06.07.2026 11mnt

  Send us Fan Mail If you’re an engineer staring at AI code generation and wondering where you fit, the uncomfortable truth is also the freeing one: trying to “outproduce” AI on repetitive implementation is not a durable plan. We talk through a calmer, more useful strategy for building a resilient software engineering career as coding becomes increasingly automated and teams move toward AI-native workflows. We break down the skills that keep you valuable when output is cheap and speed is...
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  Ep 85 - Leverage Outruns Wisdom: Systems Leadership In The AI Era 29.06.2026 12mnt

  Send us Fan Mail AI is quietly rewriting the org chart, and it’s not because everyone suddenly works faster. The real shift is structural: teams are becoming blended systems of humans, AI agents, orchestration layers, evaluation pipelines, and continuous automation workflows. That changes what leadership even means. We’re no longer just managing people, projects, and process. We’re learning to manage systems of intelligence, where the quality of coordination matters as much as the quality of ...
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  Ep 84 - The Philosophical Shift: As Intelligence Becomes Cheap, Evaluation Becomes Everything 22.06.2026 11mnt

  Send us Fan Mail AI can generate code, analysis, and recommendations faster than any team in history, but there’s a catch: verification doesn’t scale the same way. When intelligence becomes abundant, judgment becomes scarce, and that scarcity reshapes what “good engineering” and “good leadership” actually mean. We walk through the hidden asymmetry behind modern generative AI: organizations can produce far more software, content, and automated decisions than they can evaluate for correctness,...
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  Ep 83 - Up the Stack: The Five Layers Of The Future Software Engineer 15.06.2026 12mnt

  Send us Fan Mail AI can write code faster than any team on earth, so why does it still feel like shipping software is hard? The uncomfortable answer is that speed is not the same as progress, and generation is not the same as judgment. We challenge the tired question “Will AI replace programmers?” and replace it with a more useful one: at what layer does human judgment become most valuable as AI absorbs more of implementation? We introduce our “five layers of the future engineer” frame...
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  Ep 82 - A Devs Transformation: New Values Emerge As Code Becomes Cheap 08.06.2026 10mnt

  Send us Fan Mail The scariest part of AI in software is not that it writes code. It is that it changes what “being an engineer” even means. When generative AI can scaffold applications, spin up infrastructure configs, draft tests, refactor modules, and debug common failures in minutes, the act of typing implementation stops being the limiting factor. That is a fundamental shift in software engineering, and it is bigger than automation. It is the next abstraction layer in the history of comput...
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  Ep 81 - AI Needs Better Data: Agentic AI Foundations at Scale 01.06.2026 12mnt

  Send us Fan Mail AI agents are showing up everywhere, but most enterprises are discovering a frustrating truth: getting an agent to “work” in a demo is easy, getting it to deliver measurable value in production is brutally hard. We dig into why the bottleneck is shifting away from model performance and toward the fundamentals leaders control: data foundations, data governance, and organizational design that can support autonomous action. We break down what really changes when you move from g...
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  Ep 80 - The Competitive Reset: AI Creates New Winners By Moving Value 25.05.2026 15mnt

  Send us Fan Mail AI is everywhere right now: copilots, automated workflows, faster analytics, better dashboards. And yet a lot of leaders still feel the same uneasy question underneath the hype: if AI is so powerful, why aren’t we seeing truly transformational business outcomes everywhere? We dig into the uncomfortable answer: many organizations are solving the wrong problem by treating AI as an efficiency upgrade instead of a shift in competitive dynamics. We unpack the AI productivity para...
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  Ep 79 - Techno Stress: You Are Now A Permanent Beginner 18.05.2026 14mnt

  Send us Fan Mail The biggest problem with modern technology is not that it moves fast, it’s that it makes us feel like we’re failing to keep up. We keep adding AI copilots, new platforms, new dashboards, and new workflows, and somehow the payoff is often cognitive fatigue, decision exhaustion, and a persistent sense of digital overwhelm. That experience isn’t random. It has a name in the research: technostress. We walk through why today’s acceleration hits differently than past industrial sh...
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  Ep 78 - Learn By Building: From Strategy Decks To Working Agents w/ Matt Bartles 11.05.2026 44mnt

  Send us Fan Mail “We’ll learn AI once we understand it” sounds responsible, but it’s one of the fastest ways to fall behind. We sit down with Matt to argue for a different approach: learn AI by building with it, in small scopes, with real users, and with the humility to let the work teach you what the strategy can’t. The result is faster AI adoption, better judgment about what models can and cannot do, and a team that develops true operational muscle instead of slide-deck confidence. We dig ...
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  Ep 77 - The Ralph Loop: How Iteration Turns AI Into A Reliable Work System 04.05.2026 10mnt

  Send us Fan Mail Most teams are still using AI like a vending machine: type a prompt, hope for the right answer, then waste time nudging it closer. We take a different route and unpack the Ralph Loop, a deceptively simple pattern that turns AI from a one-shot helper into a process that improves through iteration. We explain where the idea comes from, why the name matters, and what “intelligence lives in the loop” really means. Then we ground it with two practical stories. First, an engineeri...
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  Ep 76 - The BMAD Method For Building Reliable Agentic Systems 27.04.2026 9mnt

  Send us Fan Mail AI can write code on demand now, but that doesn’t mean we’re building better software. When we treat AI like a chat window with a long memory, projects drift: requirements change midstream, agents hallucinate assumptions, and systems that felt “fast” become fragile. I walk through the hidden cost of vibe coding and why discipline matters more than ever in an age where intelligence is cheap. We break down a framework serious AI builders are converging on: the BMAD method (Bre...
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  Ep 75 - Where Human Judgment Belongs Throughout A Multi-Agent Workflow 20.04.2026 9mnt

  Send us Fan Mail Multi-agent AI feels like a breakthrough right up until you realize the real problem isn’t intelligence anymore, it’s coordination. When planning agents, retrieval agents, tool-using agents, and verification agents all make decisions, a simple “final answer review” can miss the most dangerous failures: bad handoffs, invisible drift, and silent coordination breakdowns where every step looks fine but the system still misses the goal. We dig into why Human in the Loop has to evo...
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  Ep 74 - Agentic Workflows: Did The Job Actually Get Done? 13.04.2026 10mnt

  Send us Fan Mail An AI agent that confidently says “done” can still be the most expensive kind of wrong. We start with a simple test of reality: when an agent updates a policy document, who was notified, what changed, what got logged, and what state did it actually leave behind? That gap between a polished response and a verified result is where agent hype turns into operational risk. We walk through task-based evaluation, the practical way to measure agentic workflows that act through tools...
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  Ep 73 - The AI Race: Winner Takes All 06.04.2026 9mnt

  Send us Fan Mail The AI race is quietly changing shape, and if you’re still tracking it like a scoreboard of model releases, you’re going to miss the real winners. We step back from the noise and make the case that the decisive battleground is physical: electricity, chips, land, permits, cooling, grid connections, and the ability to run AI reliably at scale. The question shifts from “Can we build it?” to “Can we power it, place it, and operate it everywhere people need it?” We share the core...