Robert Entwistle

How this site was built

No site builder, no template. I architected, planned, and built this site, using AI tools for repetitive implementation work that would otherwise take hours or days. It is deployed on AWS, and it is a working example of the same process described on the rest of this site: a real problem, a plan, and a shipped system, built with AI as a tool, not a shortcut.

Goal

Help hiring teams quickly see the roles I target, the level I operate at, and real evidence of technical, product, and business judgment, not just a list of claims.

Approach

  • Start with the audience. Clear positioning and case studies come before supporting material.
  • Show working evidence. Demos include backend behavior only when it helps prove the workflow or decision.
  • Make content readable by more than people. The site runs on Next.js so pages render with real content and metadata before any JavaScript executes, which makes it easier for search engines, link previews, and automated resume and applicant tracking tools to read accurately.
  • Make content reusable. Projects, writing, and documents are stored in reusable structures so the site can evolve without rework.
  • Keep the UI layer simple. Plain React and Tailwind, no third-party UI component library, since a resume site doesn't need the overhead a more app-like product would.

Tradeoffs

The demos are intentionally smaller and lower-cost than production systems. In a production environment, I would add stronger testing, monitoring, deployment controls, and support processes based on the scale and risk.

What this site is evidence of

  • Architecture and stack decisions, made and owned end to end
  • Working AI integration, not just AI-generated copy
  • Real tradeoff calls under real cost and time constraints
  • The same 0-1 process described in the case studies, applied here

Source Code

Front-end code can be shared on request. Backend demo services remain private because they include deployment details and AWS configuration.