2022 – 2024 · Co-founder, Head of Product & CTO · Portland, OR
After Yonomi I wanted to build something in a completely different space. A co-founder and I kept coming back to the same observation: generative AI was about to fundamentally change the way people cook — not just recipes, but the entire relationship between a person, their pantry, their dietary needs, and their kitchen appliances.
The existing recipe apps were static. Content was generic. Personalization was fake. Nobody had built a truly AI-native cooking experience yet. Ladle was our attempt to do it right before anyone else did.
The core of Ladle was a generative AI personalization engine that could adapt any recipe in real time — swapping ingredients based on what you have, adjusting for dietary restrictions, scaling servings, translating across languages, even adjusting cooking times for altitude or equipment.
Going from blank document to working product in 4 months required making fast, high-quality architecture decisions under uncertainty. I led engineering and product simultaneously — designing the AI systems, building the team, managing cloud infrastructure, and keeping investors and partners aligned.
The hardest calls were the product ones: which personalization dimensions mattered most to users, how to handle AI-generated content users didn't trust, when to let the AI surprise people vs. when to ask first.
Building AI-native products is a fundamentally different exercise from traditional SaaS. The hardest problems aren't engineering — they're product. How do you make an AI feel like a collaborator rather than a black box? How do you build trust with users who are skeptical of AI-generated content? How do you define quality when output is generative by nature?
I came out of Ladle with much sharper answers to those questions — and a clearer sense of what it takes to build AI products people actually rely on.
See also: Yonomi · Consulting · Patents