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 →AI-powered tools built and deployed during the program.
Six-agent pipeline that classifies, drafts, generates, reviews, improves, and polishes SAFe feature specifications with a 100-point rubric scoring system.
View project →AI-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 →AI-powered tool that generates structured SAFe feature specifications from natural language descriptions.
View project →Conversational AI that replaces form-based feature request intake with an adaptive chatbot, bridging the gap between messy stakeholder input and structured specs.
View project →RAG-powered Q&A tool grounded in team knowledge base documents.
View project →Nine governance modules covering cost guardrails, grounding verification, content safety, bias detection, audit trails, and prompt promotion rules for production AI pipelines.
View project →SQLite-backed evaluation infrastructure with prompt versioning, token tracking, a golden test set, and a 5-tab Streamlit dashboard for monitoring AI pipeline quality.
View project →Multi-agent tool that models personalization investment scenarios with validated conversion economics across conservative, moderate, and aggressive projections.
View project →Interactive reference tool for a 43-signal visitor classification system, with scoring simulator, signal explorer, and role profiles.
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