AI Product Builder · AI GTM · Agent Systems
Building things at the edge of AI, products, and people.
I turn emerging AI capabilities into products, workflows, and experiences — AI-native products, agent systems, and interactive learning.
LinkedIn · X · Xiaohongshu
Turn AI Product Management prep into a game. A Chinese-language learning world that remembers who you are.
- Three simulations: 10-week AI Product RPG (decisions move real metrics) · Concept Tower (245+ original questions across 17 towers, every option explained) · One-Person Company (10 founder decisions, $0 → first $1K MRR)
- Career layer: a learner model turns real play into a skill map, daily quests and a career journey — the world remembers who you are
- Shadow Revenge: wrong answers return as shadows; two correct answers in a row to purify (spaced repetition in disguise)
- Notebook & term index: bookmark any question worth a re-read; a glossary index built live from the deck itself
- Dreamy light brand + soundscape: hand-drawn SVG cast, cinematic cloud-and-moon scenes, synthwave BGM and 15 programmatic SFX
- Zero-dependency vanilla JS · offline-ready PWA · 218-assertion smoke suite
AI Product Game Design Interactive Learning Web Audio SVG Art
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Agents that reduce repetitive coordination and turn fragmented conversations into structured information.
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How AI products reach developers, builders, and global communities — from hackathons to ecosystems.
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Community communication meets AI workflows — from fragmented chats to structured information.
Content intelligence beyond generation: research → analysis → strategy → execution.
Mapping AI hackathons and the infrastructure that helps builders start on frontier AI.
Started in Communication → moved into frontier AI → now building products.
The work sits between technology, product, and commercialization:
- 🤖 Foundation-model communication & global AI product marketing
- 🛠 0→1 AI product building & experiments
- 📈 Growth, communities & builder ecosystems
What can AI do? What should we build? Who will use it? How do we get it into the world?
Observe → Find a real problem → Prototype with AI → Ship small → Learn → Build again
I don't believe every idea needs a startup. Some need a prototype, a workflow, a game — or just a test.
Build first. Learn by shipping.
- 💼 LinkedIn: Simone Ye
- 🐦 X: Simone Ye
- 📕 Xiaohongshu: Simone Ye — 小红书同名，中文内容主阵地
- 🎮 Play: SHUAMONE 耍门
Build → Ship → Learn → Repeat.