The 3 reasons your AI never makes it to production
Most companies don't have an AI problem. They have a throughput problem. And I think that distinction matters a lot when you start talking about how to actually get AI working in production.
Becoming AI ready: Building a company with 12 AI agents as my first hires
I left Google ten days ago to found my own company. It's been quite a journey figuring out how things work outside of the mothership, and I'm genuinely excited to share what I've learned from both sides of the house...
Agentic AI: The pathway architecture to GenAI
From Vannevar Bush's 1945 Memex to today's LLMs — agentic AI is the missing layer that finally makes the vision of human knowledge navigation real.
Rapid prototyping with GenAI: From idea to interactive PoC in days
We’ve been promised a world where one prompt builds perfect software.
But the real limitation isn’t the tech, it’s everything AI can’t see.
Fighting financial crime with hybrid AI
Here’s how consulting leader Valentin Marenich and his team built a hybrid AI system that combines machine learning, generative AI, and human oversight to deliver real-world results in a highly regulated environment.
Unlocking the power of data: How we built text-to-SQL with agentic RAG at Rocket Mortgage
Your company’s data holds answers, but accessing them is often the hard part. Here’s how Rocket Mortgage built a text-to-SQL system with agentic RAG to make data accessible to everyone.
How we transformed product marketing at Capital One
A practical guide to building a world-class function.
How synthetic data can multiply your judgment and scale your AI products
Synthetic data isn’t just a buzzword, it’s one of the most powerful ways to scale and improve AI systems using less human effort, not more.
Unlocking your retail insights with LLMs
Turning messy retail data into actionable insights. See how we use large language models to uncover what drives customer decisions and optimize every interaction.
Why I’m (hopefully) never building another agent
Practical lessons from building AI agents at scale, from tool design and evals to UX, rollout strategy, and what’s next.