Building a personal website with Rocket.new and AI
This website is a case study in prompt-led execution. Built using Rocket.new, it demonstrates how AI-assisted development, strong commercial positioning, and SEO architecture can produce a production-ready personal brand platform without traditional development resources.
The brief: a conversion platform, not a CV page
The starting point was a clear brief: build a personal brand platform that converts stakeholders — recruiters, founders, operators — not just displays a CV. That meant thinking about audience segmentation, proof architecture, and commercial positioning before writing a single line of content.
Prompt strategy as a development discipline
Every section of this site was built through structured prompting. The quality of the output is directly proportional to the quality of the brief. Writing precise, commercially-grounded prompts is a skill — and one that transfers directly to AI-assisted product development.
SEO architecture from the start
SEO was built into the architecture from day one: semantic HTML, one H1 per page, clean URL structure, JSON-LD Person schema, Open Graph metadata, Twitter cards, sitemap, and robots.txt. Not bolted on after the fact — designed in from the brief.
The visual system: strict black and white
The design brief was equally precise: strict black and white, operator-console aesthetic, no gradients, no decorative colors, no generic portfolio feel. The constraint forced clarity. Every design decision had to serve the commercial positioning.
What Rocket.new makes possible
Rocket.new enables production-quality Next.js applications through AI-assisted development. The output is real code — not a website builder export. That means full control over SEO, performance, and architecture. The learning curve is the prompting discipline, not the technology.
Lessons and next steps
The biggest lesson: clarity of brief is everything. Vague prompts produce generic output. Precise, commercially-grounded prompts produce precise, commercially-grounded output. See the Labs page for the full build context, or get in touch to discuss the approach.
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