Projects
Selected projects and work themes. Many implementations are organization-owned; these case studies focus on product logic, system design, AI patterns, and my role in shaping them.
PIOS & Personal Core Infrastructure
Building PIOS 2.0 and peecos as an open framework for owner-controlled personal information infrastructure: preserved sources, canonical events, structured knowledge, retrieval surfaces, governance, and portable setup paths for agents and applications.
Entity Core & EIOS
Building Entity Core and EIOS as the organization-scale sibling to PIOS: a governed information foundation for preserved originals, entity event truth, operating memory, and AI-agent-ready organizational context.
Capability Documentation (CRD)
Developing an open, technology-agnostic framework for specifying one complete capability so product people, developers, applications, and AI agents can share the same durable meaning.
Personal AI & AI Twin Systems
Designing systems where a person can have an AI-enabled layer for knowledge, communication, memory, and interaction. The core question is not just how to build a chatbot, but how to design a system that feels meaningfully connected to a real person and useful across different contexts.
Talking Products & Venues
Creating conversational layers that help products, services, and physical places explain themselves, answer questions, and learn from interaction.
Customer Experience AI Systems
Turning customer interaction and feedback into insight, priorities, and better decisions.
Digital Ecosystem & Platform Thinking
Applying long-term ecosystem and platform thinking to AI-native products, services, and market-facing systems.
PIOS & Personal Core Infrastructure
Owner-controlled Core architecture, event logs, knowledge projections, agent retrieval, governance, and portable setup paths.
Entity Core & EIOS
Organization-controlled Core architecture for source preservation, event truth, governed memory, and AI-native operations.
Personal AI & AI Twin Systems
Identity, memory, and interaction patterns for personal AI extensions. Focus: usefulness, safety, and trust.
Talking Products & Venues
Conversational experiences attached to products, places, and customer journeys—turning static info into dialogue.
Customer Experience AI Systems
Operational workflows: tagging, clipping, inbox → action, and AI-assisted follow-up and reporting.
Digital Ecosystem & Platform Thinking
Ecosystem structures, platform logic, and system-level thinking for AI-native products and market-facing services.
Case study template
- Problem / opportunity
- What the system does
- My role
- Product/UX perspective
- AI/architecture perspective
- Outcomes / learnings
- Visuals (diagram/screenshot)