When everything feels urgent, how do you make progress instead of just reacting?
In this episode, we talk with Erkang Zheng, founder of JupiterOne and Ariso, about why so many leaders get stuck in reactive mode and what it takes to build systems that hold up under pressure. They explore proactive leadership, lessons from scaling companies, and how AI and better structure can help teams move from constant firefighting to real momentum.

If AI is so powerful, why hasn’t it changed your organization the way you expected?
In this episode, James sits down with strategy advisor Justin Trombold to unpack why GenAI progress feels slower than promised and why the biggest barriers usually aren’t technical. They explore what organizational readiness really means, how small workflow wins create momentum, when agentic automation is worth the risk, and how to avoid scaling the wrong things too early. A grounded conversation for tech leaders turning experimentation into real impact.

Why do AI analytics tools look impressive… but still don’t get used?
James Carman talks with Pete Hunt, CEO of Dagster Labs and one of the original engineers behind React, about what it really takes for AI-powered analytics to stick. They unpack why adoption is often the biggest challenge (not accuracy), how bringing analytics into Slack changes decision-making, and what “fast, directionally correct” can unlock when teams trust the path to an answer.

If AI can build a prototype in a day, why does shipping still take months?
In this episode, James Carman is joined by David Arenas, a senior technology leader across industrial automation, fintech, and global data platforms. Together, they unpack why AI is accelerating development, but also making the gap between demo and production more expensive. They break down what it takes to ship AI-built work at enterprise scale.

What did we actually learn about AI this year?
To close out 2025, James interviews an unexpected guest: ChatGPT. They talk honestly about what teams got wrong, what actually improved, and why AI’s biggest wins came from small workflow shifts — not sweeping transformation. They also dig into software engineering, documentation, onboarding, junior engineers, and what tech leaders will need to operationalize in 2026 as AI becomes a system, not a tool.

What if the systems we rely on every day fail because they were never designed for how work actually happens? This week, we sit down with product design leader and founder Sharmeen Aqeel to explore how human-centered design and AI are reshaping how products get built, decisions get made, and businesses move forward. Sharmeen shares how deep user research exposes where traditional processes break down, how simplifying workflows creates speed without sacrificing trust, and why AI is becoming a true partner in modern product design and entrepreneurship. 

What happens when shipping software is no longer limited by human hours? This week, Max Heckel — CTO of Ariso and creator of the open-source AI orchestrator “Ivan” — breaks down how his team literally codes while they sleep. Max shares how AI coding agents can tackle tasks overnight, open PRs by morning, double development velocity, and redefine what engineering teams focus on. This conversation is a roadmap to what’s coming next.

What if the real key to transformation isn’t more technology, but more humanity?
This week, Nora Osman joins James to explore why simplicity, trust, and human experience are the real engines of organizational change. From zero-to-hero moments to the “red carpet in, red carpet out” philosophy, Nora shows how better leadership—not bigger tech stacks—drives lasting results.

Can your AI agents survive production AND your budget? In this episode, Yaron Schneider, CTO and co-founder of Diagrid and creator of the foundational open-source tools Dapr and KEDA, joins James to unpack what it takes to build AI agents that are durable, cost-aware and enterprise-ready.

In this episode of The Forward Slash, James talks with Michael Pompey, AI Evangelist at Arrow Electronics, about the messy middle between innovation and impact. They discuss lessons from mission-driven organizations, the danger of chasing hype, and why the next evolution of transformation will be adaptive, not architectural. From AI to governance to leadership trust, this conversation is a candid look at what actually drives change in organizations.