Velocity
Completed

GE4X: Grounded AI Demo

Role
Senior Design Technologist, sole engineer, built full-stack demo and reusable MD3 component library
User Problem
Non-technical stakeholders couldn't see what grounded AI actually looks like on their own website.
Business Problem
Grounding demos needed to feel real, not abstract API responses, to drive enterprise adoption.
Impact
Sole engineer. 38 commits. Deployed to Cloud Run. GM3 library (80+ components) shared across 3+ projects.

What it does

GE4X, full grounding lifecycle from domain entry to embed snippet

Users type a question about any website, and the app returns answers sourced from that site’s content (via Google Search grounding scoped to the target domain) with Google Maps integration for location-aware queries. There’s a “publish” preview where you see the agent embedded in a realistic website mockup, built by dynamically fetching the target site’s metadata.

The point: grounding alone isn’t impressive until you show it working on someone’s actual website with their actual data. The publish preview made that concrete for non-technical stakeholders.

Architecture

Backend (FastAPI): GenAIService wrapping the GenAI SDK with Vertex AI. Site-restricted search (queries scoped to target domain), location-aware grounding (user lat/lng passed through RetrievalConfig to Google Maps), multi-turn conversation with thought signature tracking. Deployed to Cloud Run.

Frontend (Vue 3 + TypeScript): Chat interface with inline grounding citations. The backend parses grounding_chunks, grounding_supports (text segments mapped to source indices), and Maps widget tokens, then normalizes it all into a clean JSON response. Config panel for agent setup, debug panel exposing raw payloads.

GM3 component library: 80+ Material Design 3 Vue components (buttons, data tables, navigation, date pickers, video player, etc.) Built as a standalone git submodule and shared across GE4X, Dubbing Studio, and other projects.

Express Mode (related prototype): “Zero friction” website-to-chatbot ingestion. Paste a URL, get a grounded chatbot in seconds. That prototype defined the architectural blueprint the production team used. 2-week delivery.

Artifact Evidence

Project: ge4x-grounded-ai

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