Nathan Gwyn · Product Builder · Full Stack and AI
Custom software engineering for teams that need speed, reliability, and real outcomes.
I partner with startups and modern teams to architect and deliver scalable products across frontend systems, backend services, integrations, and intelligent automation. Exploring private AI adoption, model strategy, or a custom AI harness for your business? I got you.
Live Greeting from Nathan's AI
Agent demo
LiveSee a plain model become an agent with controlled tools.
A traditional LLM works from the information available to it: training data, instructions, and the context you provide. It can reason, write, summarize, and explain, but it cannot search the web, check live systems, or interact with the outside world by itself.
The useful part is the software around the model. Builders like me connect LLMs to real systems: APIs, databases, files, search, calendars, dashboards, and workflows, while keeping control over what the model can request and what actually runs.
This demo shows that idea with two simple tools: live web search and weather lookup. Turn on Agent Mode, ask something current, and watch the runtime validate the request, run the tool, trace the flow, and feed fresh context back into the final answer.
Capabilities
Full-stack product delivery with modern AI workflows.
I design, build, and ship production-ready systems across frontend, backend, cloud infrastructure, and applied AI. From first prototype to stable launch, I focus on speed, maintainability, and measurable business outcomes.
About · 🪐
Builder first, developer second. 🤝
class Nathan {
role: string;
vibe: string;
caffeineLevel: string;
constructor() {
this.role = "Full-Stack Engineer";
this.vibe = "builder-first";
this.caffeineLevel = "dangerously optimized";
}
frontend(): string[] {
return ["React", "Next.js", "TypeScript", "Tailwind", "Three.js"];
}
backend(): string[] {
return [
"Node.js",
"Python",
"FastAPI",
"Flask",
"Django",
"Ruby",
"Rails",
"Postgres",
"Prisma",
"Supabase",
];
}
aiStack(): string[] {
return [
"OpenAI APIs",
"Anthropic APIs",
"MCP",
"RAG",
"Vector Search",
"LangChain",
"Hugging Face",
"Ollama",
"llama.cpp",
"Prompt Systems",
"OpenClaw",
"Cursor",
"Claude Code",
"OpenCode",
"GitHub Copilot",
"Codex",
];
}
ship(feature: string): string {
return `${feature} shipped with tests, telemetry, and minimal drama.`;
}
debug(issue: string): string {
return `Fixing ${issue}... probably with logs, coffee, and spite.`;
}
}I like making things that feel clean, fast, and just a little bit cursed in the best way.
Sometimes that means shipping polished product work. Sometimes it means disappearing into an idea at 1 a.m. and coming back with something surprisingly real.
This site is home base for all of it: projects, experiments, Twitch, side quests, and whatever weird thing I'm building next.
Support
If the work helps, you can support future builds.
Contributions help fund tooling, experiments, open resources, and deeper AI/dev systems content. Totally optional, always appreciated.
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