Built a conversational AI intake copilot that transforms messy stakeholder feature requests into structured specs using a two-gate review architecture.
Latest entry · May 24, 2026 · 12 min read
Week 13 Journal: Meet Dino, Your Las Vegas Restaurant Insider
Built Dino, a consumer-facing AI dining concierge for Las Vegas with Rat Pack personality, real Google Maps restaurant data, mock reservation booking, and Google Calendar deep links — deployed on Railway via a FastAPI agentic architecture.
Read entry →Journal
Took the SAFe Feature Spec System from prototype to production by wiring in governance, migrating from SQLite to PostgreSQL, building a ConnectorInterface abstraction, and deploying the full v3 system to Streamlit Cloud.
Built nine responsible AI modules (cost guardrails, grounding checks, content safety, bias detection, audit trails, and prompt governance), transforming the SAFe Feature Spec System into a pipeline that can be trusted in production.
Shipped
SAFe Feature Spec System
liveSix-agent pipeline that classifies, drafts, generates, reviews, improves, and polishes SAFe feature specifications with a 100-point rubric scoring system.
View project →Dino: AI Vegas Dining Concierge
liveAI-powered dining concierge for Las Vegas with Rat Pack-era personality, real restaurant discovery via Google Maps, mock booking with a real API contract, and Google Calendar deep links with insider tips.
View project →Feature Spec Generator
liveAI-powered tool that generates structured SAFe feature specifications from natural language descriptions.
View project →