In this episode of AI with Bry, we explore why winning with AI has far less to do with chasing the latest tools and far more to do with how leaders think about leverage, systems, and decision making. As AI accelerates development cycles and lowers execution barriers, the real advantage is no longer speed alone, but clarity around what to build, why it matters, and how teams use AI to fundamentally change how work gets done.

I am joined by Anu Ram, a fractional product leader and advisor working with organizations across industries to help them navigate AI driven change with intention. Anu brings deep experience spanning product strategy, execution, and organizational design, including her work with Crux Partners and Parsan AI. Her perspective is rooted in real operator challenges, not theory, and focuses on how leaders and teams actually build better products in practice.

Anu and I unpack why AI should be invited into everything, but never left to run unchecked. We discuss why context is the real unlock for AI usefulness, why leaders must remain firmly in the human in the loop, and how trust is built by asking AI to show its work rather than blindly accepting outputs. From rapid prototyping and proof of concepts to workflow automation, security reviews, and internal decision making, this conversation highlights how AI creates true leverage when paired with strong product judgment.

We also explore how AI is reshaping the role of product teams as development cycles shrink and vision, prioritization, and customer understanding become the new bottlenecks. Anu shares practical examples of how leaders can start small, codify tribal knowledge, and create space for experimentation without creating chaos. The episode reinforces why leverage should be rewarded as much as output, and why leadership in the AI era means modeling curiosity, restraint, and intentional adoption.

Whether you are a product leader, founder, executive, or operator trying to move beyond surface level AI adoption, this episode will help you rethink AI as a force multiplier for strategy, not a replacement for thinking.

What You Will Learn in This Episode

• Why leverage matters more than tools in AI driven organizations
• Why context is the most important input leaders can give AI
• How to stay human in the loop while still moving faster
• Why AI accelerates good product thinking and exposes weak strategy
• How rapid prototyping changes product discovery and validation
• Why workflows, not moonshots, are the best place to start with AI
• How AI helps surface insights across sales, support, and customer data
• Why leaders must reward leverage, not just output
• How governance and experimentation must coexist in larger organizations
• Why inviting AI to everything starts with curiosity, not expertise

Resources and Organizations Mentioned

• Crux Partners https://cruxpartners.co
• Parsan AI https://www.parsan.ai/

AI Models and Assistants

• ChatGPT: https://chat.openai.com
• Claude: https://www.anthropic.com/claude
• Perplexity: https://www.perplexity.ai

Vibe Coding and Agentic Development

• AI-assisted prototyping: https://www.anthropic.com/research
• Agentic workflows for product, research, and operations: https://www.microsoft.com/en-us/research/blog/ai-agents-explained

Product and Leadership Concepts

• Human-in-the-loop systems: https://www.nist.gov/itl/ai-risk-management-framework
• Context-driven product discovery
• Leverage over automation

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Remember, the future does not wait. Learn, leverage, and lead.