Urban Stone
Amazon Granite Rebrand Portal
Full brand and commerce portal repositioning a commodity granite product through premium UX, structured content, and AI-assisted FAQ — reducing inbound support while establishing SEO presence.
Currently under research and development. The CEO Executive Orchestrator prototype uses Python, Flask, Socket.IO, and LangGraph to explore executive routing, durable jobs, and approval-gated artifacts. This is not a live service or production deployment.
Services
Project scope and deployment status vary. Work begins with architecture, data boundaries, and acceptance criteria rather than assumed outcomes.
R&D and project-scoping for conversational experiences grounded in approved knowledge sources and clear human escalation paths.
Research into bounded, multi-step workflows with explicit tool permissions, durable state, and review before consequential actions.
Explore model connections to existing systems with attention to data flow, access scope, and operational requirements.
CEO Orchestrator · R&D
Case Studies
Amazon Granite Rebrand Portal
Full brand and commerce portal repositioning a commodity granite product through premium UX, structured content, and AI-assisted FAQ — reducing inbound support while establishing SEO presence.
Local Music Discovery Platform
Searchable directory connecting artists, studios, and promoters in Charlotte with AI-assisted matching logic, structured profiles, and a booking inquiry flow optimised for local SEO.
Internal agent orchestration R&D
Internal research into operator-directed repository review, documentation, and cross-repository coordination. This is separate from the CEO Executive Orchestrator and is not a client deployment.
Delivery Framework
A structured process that starts with outcomes, moves fast, and stays accountable at every stage.
We map your current workflows, identify the highest-leverage AI opportunity, and define measurable success criteria before writing a line of code.
A working proof-of-concept — not slides. You see the AI behaving on your real data, with feedback loops from your team built into the sprint.
Production-grade build with observability, guardrails, and integration testing. Every system launches with monitoring and a clear escalation path.
Post-launch, we run evaluation cycles — reviewing conversation logs, agent traces, and conversion data — to continuously improve output quality.
CEO Executive Orchestrator · R&D
Currently under research and development. The prototype explores Python, Flask, Socket.IO, and LangGraph orchestration; it is not a live service or production deployment.