SUNNYVALE, CA · GTM × AGENTIC AI
I ship the AI I write about.
I'm Henrique Loyola. By day I lead Content & Discovery go-to-market for Google Play Games. Nights and weekends, I design, build, and run multi-agent AI systems on my own hardware — from e-commerce pipelines to Android apps. This site is the lab.
THE LAB
Personal projects, built end to end on self-hosted models and my own infrastructure. Screenshots and demos below — these run in my house, not in a pitch deck.
My agent platform: Hermes, running on local models on my own hardware, built around persistent memory. One agent, many roles — editorial drafting, research, turning photos of a dish into recipe cards, and holding my family's medical history for quick, private consultation. It remembers context across weeks, not chat sessions, and nothing leaves the house.
A novel-writing studio — chapter pipeline, canon and style guide, and a "review backwards" pass that walks a manuscript from the last chapter to the first, hunting continuity breaks. Built because the first book I needed to write was my grandmother's: she's 97, and I had hours of recorded interviews. Local models do the legwork; a frontier editor agent, fed samples of my own writing, takes the final pass so the draft reads like prose instead of a stitched transcript.
An agentic pipeline that took a print-on-demand storefront from 5 designs to 500 — ideation, generation, listing copy, and upload prep — and reached revenue-positive within its first twelve weeks.
A five-agent career system that researches roles, tailors materials, and manages a search pipeline. Built for real use — including by people other than me.
A spin-off of David Jobs: paste a job description, and JAM reviews, scores, and tracks the application against it. Deployment-ready application management, minus the spreadsheet.
Built for my own family's next move: drop in an address or pan the map, and it consolidates the neighborhood picture — schools, local representatives, a one-line civic read from public records — into a single summary instead of fifteen browser tabs. AI consolidates the boring 80% of the research; the 20% that matters stays a conversation with real people. Friends and family only for now.
A running-route generator for marathon training: give it a distance and a start point, it gives you a loop. Prototype APK running on-device, born from my own training plans.
A multi-agent pipeline for social network content: one agent researches, one edits against my voice rules, and a frontier model takes the final pass. My posts about AI are produced by the AI they describe — and the last word is always mine.
EXPERIENCE
My career runs through three platforms people love: movies, music, and games.
GOOGLE · 2017—NOW
Head of Content & Discovery GTM, Google Play Games. Led the zero-to-one launch of Google Play Games on PC and GTM for some of the largest mobile game launches in Play history. Today I lead a growing 12-person team and put multi-agent AI into real marketing production — including PEPA, Play's first culturally-aware multi-agent system.
APPLE · 2011—2017
iTunes Content Manager for Latin America, São Paulo — movies and TV across the region during the streaming transition.
EARLIER
Universal Pictures and Cinemark in Brazil: home entertainment marketing and film buying. I started this career choosing which movies theaters would show.
Full history on LinkedIn.
SPEAKING
SHANGHAI · 2025
Google Think Games. Presented a study on AI-powered content localization for game marketing.
SILICON VALLEY · 2026
From Day One — Marketing Conference. Panelist on marketing leadership.
For speaking inquiries, use the contact below.
ABOUT
Brazilian-Italian-American — work authorization across the US, Brazil, and the EU — based in Sunnyvale, California, with my wife and daughter. Marathon runner working through the Abbott World Marathon Majors — Chicago is next. Lifelong gamer (Final Fantasy, since forever), Disney parks completionist, and the designated risotto guy at family dinners. Portuguese and English, natively; Spanish, enthusiastically.
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