The Deep View: Conversations

Baris Gultekin, VP of AI at Snowflake and former blockchain founder, explains how Snowflake is shifting into AI-driven automation. He discusses agentic AI replacing simple Q&A, why data strategy must come first, and how tools like Cortex Code and SnowWork let non-developers query and automate workflows in plain language.

Stefan Weitz, CEO and co-founder of HumanX and former Microsoft executive who builds AI-powered experiences. He discusses reimagining conferences with AI-driven personalized agendas and smarter networking. He explains turning every team member into a 10x contributor, vibe-coding for rapid prototyping, and the AI tool that stunned him.

Olivia Moore, partner at Andreessen Horowitz who tracks early-stage consumer AI apps, shares what she’s watching in 2026. She highlights the rise of personal AI agents and why memory and context matter. The conversation covers platform shifts, retention dynamics, standout consumer tools, and how agent-driven UX and orchestration are reshaping product development.

Tigran Sloyan, CEO and co-founder of CodeSignal who built skills-based hiring and learning platforms, explains why resumes fail and how simulation-based assessments change hiring. He discusses generative AI enabling realistic non-technical simulations, rising fraud and assessment integrity, the shift of entry-level jobs into tasks, and how AI tutors and free learning can scale reskilling.

Wasim Khaled, CEO of Blackbird AI and entrepreneur fighting disinformation, explains how perception itself can be weaponized. He outlines what narrative attacks look like and the tactics behind coordinated manipulation. He describes product approaches for detecting synthetic media, measuring narrative risk, and using AI agents and context graphs to defend networks and leaders.

Shibani Ahuja, SVP of Enterprise IT Strategy at Salesforce and former banking exec, who met hundreds of C-suite leaders to advise on agentic AI. She discusses real blockers to enterprise AI adoption. She explains Salesforce’s Agentic Maturity Model, the shift from predictive to agentic AI, clear jargon-free communication, and practical rollout advice like starting small and measuring ROI.

Matt Yanchyshyn, who leads AWS Marketplace and drives its agent strategy, explains how AI agents have exploded into real-world use. He recounts the jump from dozens to thousands of agents. They discuss which agent types and industries are adopting them fastest, how orchestration and multi-model setups matter, and how firms handle data sovereignty, discovery, pricing, and deployment at scale.

Bobak Tavangar, CEO and co-founder of Brilliant Labs and former Apple product leader, discusses AI glasses and a memory-focused Halo concept. He covers starting an AI hardware startup, open-source design, building memory agents, privacy-first local inference, and the challenges of hardware productization. The conversation highlights human-centered design, attention, and practical tradeoffs in building wearables.

Rob May, founder and CEO of Neurometric AI, shares his expertise in optimizing AI inference costs. He discusses the pressing challenge of making AI affordable enough to yield real ROI for enterprises. Rob explains his innovative approach using 'thinking algorithms' and specialized small models to reduce costs while enhancing accuracy. He also reflects on his journey back to startups, emphasizing the importance of authentic storytelling in gaining media attention and driving growth in the AI sector.

In this episode of The Deep View Conversations, we sit down with Merrill Lutsky, cofounder and CEO of Graphite — a company using artificial intelligence to transform how engineers write, review, and ship code.What started as an internal tool to streamline software deployment has grown into something larger: a vision for how AI can augment, not replace, the craft of engineering — and reshape how teams collaborate at scale.Merrill walks us through Graphite’s early pivots, the development of its AI reviewer Diamond, and how the company is rethinking the bottleneck that stands between building and shipping code.We also go beyond the product to explore deeper questions:Will coding become fully automated?How do we balance speed and safety in an era of AI-written software?And what does craftsmanship mean when machines start to create?