A working portfolio of AI builds that turns concepts into practical understanding—through hands-on implementation, visible reasoning, governance, and observability.
A voice request enters through a webhook, is transcribed by OpenAI, and moves through n8n orchestration. The AI agent routes the correct calendar tool, executes a CalDAV request in iCloud, and returns an observable response.
An automated index built with API and feed ingestion, a Python scoring pipeline, structured JSON data, PHP pages, and GitHub automation. Models are ranked across capability, value, adoption, and enterprise relevance.
A cross-platform signal layer that ingests APIs, files, and messages; connects related events with AI reasoning; and produces confidence-aware briefs with linked evidence and recommended actions.
Google Drive
Gmail
CalendarA structured assessment prototype that scores candidate use cases across business value, data readiness, integration complexity, model risk, governance controls, and implementation effort to shape a practical roadmap.
The AI Lab is a living record of applied learning. Each build makes the architecture, reasoning, governance, and observability visible—turning emerging concepts into practical fluency and reusable insight.
Explore current builds ↗