The Deep View: Conversations

What happens when a startup's mission perfectly aligns with the biggest trend in tech? That's exactly where Guild AI finds itself in 2026. James Everingham, CEO of Guild AI, joins The Deep View Conversations to talk about building a safety layer for AI agents. The product launched in fall 2025 and found itself at the center of the most important movement in enterprise AI just months later. In this conversation, James breaks down how Guild's platform deploys dozens of workflow-specific agents across different parts of a business, while giving developers the tools to iterate, spin up custom agents, and operate in a safe environment that tracks everything agents do and protects companies from unpredictable outcomes. Topics covered:+ The enduring power of bottom-up innovation+ How Guild AI's agent supervision platform works+ Why safety infrastructure is the new competitive moat+ Lessons from James' earlier career at Netscape and Meta+ Open-source vs. proprietary models: how it plays out over the next few years+ A standout leadership tip for sparking innovation on your team + His best advice for getting maximum impact from today's AI tools. If you want to understand where AI agents are headed and what it takes to build them responsibly, this conversation is a powerful place to start. Subscribe for weekly conversations with the leaders shaping the future of AI. And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

Snowflake has been a stalwart of the SaaS economy and a leader in enterprise data for the past decade. But the company is deep in the middle of a transformation that most people haven't recognized yet.In this episode of The Deep View Conversations, senior reporter Nat Rubio-Licht talks with Baris Gultekin, vice president of AI at Snowflake, for a candid look at how the company is navigating the AI era and what it's learning in real time.Gultekin talks openly about how the entire team inside Snowflake is now using coding tools to build skills and automate their work. That includes non-developers who are using Project SnowWork, an AI agent for professionals across all roles.Baris joined Snowflake in 2023 through the acquisition of blockchain startup nxyz and has spent the past three years building and running the AI teams inside the enterprise tech giant. He also brings a rare perspective from his time working on Google Assistant in the pre-LLM era, which gives him a unique lens on how much has changed.Topics covered:+ Why there is no AI strategy without a data strategy, and what enterprises keep getting wrong+ How agentic AI has shifted enterprise data from question-answering to automation+ The SaaSpocalypse and why Snowflake sees AI as a tailwind rather than a threat+ Cortex Code (CoCo), Snowflake's coding agent that lets customers query their data in plain language instead of SQL+ The governance and security challenges that come with multi-agent systems+ How Baris uses coding agents in his own lifeIf you want to understand how a mature SaaS company reinvents itself inside an AI revolution, this one is worth your time.Subscribe to the podcast for more conversations with the leaders, builders, and researchers shaping the future of AI.And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

Stefan Weitz thinks AI should not just make companies faster. It should make every individual inside them dramatically more capable.In this episode of The Deep View: Conversations, the HumanX CEO explains how he’s putting that idea into practice, starting with his own team.HumanX calls itself the most important AI conference of the year, but what makes it stand out is how intentionally it’s being built. Stefan and his team are rethinking the entire event experience for 2026, using AI to create a more personalized journey for every attendee, from curated sessions to smarter networking and discovery.In this episode, we talk about:+ Building a new kind of conference in the AI era+ Using vibe coding for rapid prototyping+ Management principles for the AI era+ Turning every worker into a 10x employee+ The AI tool that’s blowing Stefan’s mindBut this conversation goes beyond events. It’s really about leadership in the age of AI.Along the way, Stefan offers a clear view of what it takes to build an organization that can actually apply AI, not just talk about it. He also shares a leadership principle that has shaped his approach.If you’re thinking about how to scale impact across your team, or how to move from AI curiosity to real execution, this conversation delivers practical insights you can use right away. Subscribe to the podcast for more conversations with the leaders, builders, and researchers shaping the future of AI.And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

In this episode of The Deep View: Conversations, we talk with Olivia Moore, partner at Andreessen Horowitz (a16z), one of Silicon Valley’s flagship venture capital firms. At a16z, Olivia focuses on the rapidly evolving world of consumer AI apps. She tracks which tools are gaining traction, which ones are breaking out beyond early adopters, and which products are unlocking entirely new capabilities for everyday users.In this conversation, we explore the key trends shaping the next wave of AI apps, including the rise of personal AI agents, the growing importance of context and memory in AI systems, and the way new tools are changing how people build, create, and work.We cover:+ a16z’s Top 100 Gen AI Consumer Apps report and what it reveals+ The rise of OpenClaw and personal AI agents in 2026+ Olivia’s current AI stack and how she uses her favorite tools+ Why context and memory could define the next stage of AI+ Global trends shaping the AI app ecosystem+ The acceleration of coding agentsFew people have their finger on the pulse of the AI app ecosystem like Olivia. If you want to understand which AI tools are gaining momentum and where the next breakthroughs may come from, this conversation offers a valuable window into the space. There’s a great chance you’ll come away from this episode with at least one tool or idea that changes the way you work. Subscribe to the podcast for more conversations with the leaders, builders, and researchers shaping the future of AI.And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: subscribe.thedeepview.com

In a labor market being rewired by AI, CodeSignal is betting that skills, not resumes, will decide who thrives.For this episode of The Deep View: Conversations, I talked with Tigran Sloyan, CEO and co-founder of CodeSignal, the company building a new standard for hiring and career mobility in the age of AI.CodeSignal’s mission starts with a simple but painful truth: resumes and interviews are a flawed way to hire talent. Countless candidates have the skills to thrive in high-paying tech roles but never get a fair shot, while others with polished credentials sometimes land jobs they’re not prepared to do. CodeSignal is flipping that equation with skills-based assessments that help employers discover candidates with real ability, and a free learning platform that helps candidates level up for the next opportunity.In my conversation with Tigran, we talked about:+ Why resumes haven’t meaningfully changed in 100 years, and why it's breaking hiring+ How CodeSignal measures skills, and why simulation beats multiple-choice+ What AI unlocks for assessing non-technical roles such as sales and support+ The dark side of AI: what CodeSignal’s research shows about cheating attempts+ Why entry-level jobs are turning into tasks, and what that means for training+ How CodeSignal makes free learning content work economically+ The future of re-skilling at scale, and why AI tutoring changes everythingWe also dig into what’s changing fast right now: the rise of AI-assisted work, the surge in fraud in hiring assessments, and why foundational skills still matter even when AI can do the task.Tigran shares his background from Armenia to MIT to Google, his most contrarian leadership advice, and the AI tool he'd recommend you start using every day. If you want to understand how AI is being used to fix the problems that AI is causing in the job market, this is the podcast for you. Subscribe to The Deep View: Conversations podcast in your favorite podcast player for more unique conversations with the brightest minds solving the biggest challenges in AI. You can also subscribe on YouTube.And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: subscribe.thedeepview.com