Discover how AI reasoning transforms the way we work and collaborate. Explore the evolution from simple automation to intelligent agents that think, adapt, and partner with humans as true teammates.
Could AI be your next best hire? In the first episode of Intelligent Agents, Joe Miller, co-founder and Chief AI Officer at Vivun, opens up a conversation about AI's evolving role at work, not as a tool but as a teammate. He challenges us to imagine a future where AI agents are trusted colleagues in the workplace.
Is your AI just a smarter thermostat? Joe Miller explains the difference between tools that execute and agents that collaborate. He raises a key question: are we just automating tasks or building something that can reason? Using a sharp metaphor – a nail gun vs. a contractor – he shows what separates automation from true agency.
Joe Miller explains why pattern recognition isn't enough. Using a chess analogy, he shows how AI's reliance on pattern recognition is like a commentator who can describe the game but can't play it. True AI mastery requires structured reasoning that turns raw data into real-world competence.
See how infinite deal memory maintains perfect context across all interactions, ensuring no critical information is ever lost.
Understand how knowledge graphs reveal hidden connections between stakeholders, enabling 2.4x more effective influence strategies.
Why does your AI give confident answers you can't verify? Joe Miller explains why understanding AI's decision-making process is essential to getting the best outputs. Without transparency in AI's thinking and traceability in its decisions, it's impossible to trust the outcomes.
Discover how AI evaluates competitive landscapes and formulates winning differentiation strategies automatically.
Learn how probabilistic models forecast deal outcomes and identify potential risks before they become critical issues.
Two candidates, same skills. Who gets the job? Usually, it's the one who fits the team's vibe. Joe Miller explores how personality, social intuition, and cultural alignment will determine whether AI agents are trusted and embraced as teammates, showing why "personality hire" thinking applies to AI design too.
Your AI doesn't know what "good" looks like unless you tell it. In this episode of Intelligent Agents, Joe Miller, co-founder and Chief AI Officer at Vivun, explains why agents can't set their own quality standards and why the most valuable skill in the age of AI will be framing the right problems. Joe explains how to engineer "taste" and "quality" into your AI so it delivers results that meet your standards, not its own. He explores the shift from doing work ourselves to defining the objectives, constraints, and outcomes that guide AI execution.
What happens when AI coworkers are built to handle entire roles instead of single tasks? In this episode of Intelligent Agents, Joe Miller, co-founder and Chief AI Officer at Vivun, explores why the future of work depends on agents designed to achieve a role's goals, with people providing the goals and context, not just tick off individual actions. He shares how this approach can shape collaboration, trust, and the skills teams need to thrive. Joe explains the shortcomings of building a workplace filled with narrowly focused agents and makes the case for hybrid human AI teams where each side brings unique strengths. Humans remain responsible for setting direction and meaning, while agents take on the scale and speed that only AI can provide.
What's really going on when AI appears smarter than it is? In this episode of Intelligent Agents, Joe Miller, co-founder and Chief AI Officer at Vivun, unpacks some of the most persistent myths about large language models and AI agents. He explains why certain expectations for AI set teams up for disappointment and how a clearer view can lead to better outcomes. Joe walks through misconceptions around AI's reasoning, the nature of true agency, the limits of context windows, and why multiplying agents isn't a magic fix.