What I do
AI/Automation
Hours back across your teams, without adding headcount. Discovery first: I find the manual work that costs the most and the outcome removing it should move. Then automations and AI agents that run reliably in production, with evals that define what good looks like.
Product
Outcomes, not output. Continuous discovery with customers every week, opportunity mapping and fast assumption tests, so your teams commit to the bets that move revenue and retention instead of a feature list.
Design
Products customers and employees adopt on the first try. Interviews, prototypes and usability tests early in discovery catch the friction before it costs engineering time, and design systems built in Claude keep large teams fast and consistent.
Code
Build to learn, then build to earn. Working prototypes in days with Claude Code put real evidence in front of customers and stakeholders. What proves its value goes to production in TypeScript, React, Next.js, Node, Three.js or Swift, inside your existing stack.
Growth
More qualified demand, measured in pipeline. SEO and GEO so Google and AI assistants recommend you, and email that turns that traffic into customers. The technical side of growth, run as experiments with clear outcomes.