Built an autonomous innovation engine that mines internal and external signals to surface new product ideas, then tests and validates them against synthetic buyer personas. The pipeline replaced months of manual workshops and cut time-to-concept significantly.
Work
Before I sold AI consulting to anyone, I had to build and run it for myself.
Here's what those systems do, and what I learned from building them.
MarketplaceSpain's gluten-free marketplace, providing people with celiac disease the quality products they deserve.
AI inside
Bakery outreach and Product catalogue run on a schedule.
See case study

PreferrAppAn iOS app that learns your palate, then finds the specialty roasters worth your time.
AI inside
Roaster outreach and Bean catalogue run on a schedule.
See case study
- BihotzBihotzPlatform
An adaptive coaching platform for runners. Training plans that bend with the week, not against it.
AI inside
AI accelerated the build, not the product. Athlete safety runs on rules, not models.
See case study
Selected past engagements
Board of Innovation
Strategy, innovation, AI, and digital transformation projects for global brands.
Designed consumer-facing AI features that reshape how Walmart shoppers discover and decide online. The work focused on practical wins for the existing experience, not speculative reinvention of the storefront.
Helped KPN open a new audience by automating the production of copy and content in that audience's tone of voice. The workflow keeps the channel current and engaging without pulling marketing hours away from the rest of the business.
Built an AI-aided ideation workflow that ran product concepts through multiple buyer personas in parallel, iterating and validating each pass before live testing. The same workflow now lives in the team's stack as a repeatable process for future launches.
See how your business might use this pattern.
30 minutes, free, no slides. I'll show you my own AI systems running live and we'll figure out if there are a few use cases worth building for you.







