Starting has never been easier. We build it right, and make sure it holds.
Same judgment applied throughout.
A site or web app, designed and built from the ground up — using whatever's the right fit, from WordPress to modern frameworks like Astro, up to newer agent-native platforms like EmDash.
What you getA live site on your domain, fast by default, easy for you to update.
Purpose-built AI agents and internal tools that do one job well, wired into how your team actually works.
What you getA working agent or tool running in production, with the access it needs and no more.
Connecting AI to the systems you already run — CRM, docs, internal APIs — so it works with real data, not guesses.
What you getA live connector between your AI tools and your existing systems.
AI makes it easy to get most of the way there — a proof of concept, a vibe-coded first pass. Getting the rest of the way, where it actually holds up, is where we come in.
What you getA clear read on what's actually broken, and a working version of what you already started.
A real process, not just a skills list.
We talk through what you actually need, then define what "done" looks like before any work starts.
A clear scope and timeline, in writing.
We design and build the thing itself — site, agent, or integration — with regular check-ins, not a black box.
Working progress you can see as it happens.
We deploy it to production and make sure it holds up under real use, not just a demo.
A live site, agent, or integration, running in your environment.
We fix what needs fixing and tune what needs tuning after real usage, not just at handoff.
A short post-launch window to adjust based on how it's actually used.
Mr. Beefburger is a fictional restaurant brand used as a sandbox for a full production-grade build — real database, real auth, real transactional email, real deployment pipeline, nothing mocked or stubbed.
Built with Astro 6 and server-side rendering on Vercel, with React islands for interactive components and Nanostores for persistent client state. Highlights include a full multi-step ordering flow writing to a Neon serverless Postgres database via Drizzle ORM across eight tables, passwordless OTP authentication through Better Auth with codes delivered by Amazon SES, a four-tier loyalty program with a transaction ledger tracking points automatically per order, an account dashboard with order history and loyalty balance, shareable live order receipt pages, an interactive OpenStreetMap locations page with geolocation-based sorting via Leaflet.js, a persistent cart with localStorage state, and Cloudflare Turnstile for bot protection. A companion landing page was also built in Webflow via its MCP connector.
The brand itself — including a fictional founder whose voice runs through the copy, from menu items to error messages — is intentionally fictional. It exists purely to demonstrate what a real e-commerce build looks like end to end, without the constraints of an actual business behind it.
MitchellOS is a private web application built for a family — not a client, just home use. It keeps track of the things that usually slip: birthdays and anniversaries, gift ideas, small gestures worth repeating, and the steady stream of email from schools and activities.
It started as a personal dashboard for one person. Once a spouse saw what it could do for the family's calendar, it grew into something for the whole household.
It's a work in progress, deliberately. It's being built with AI assistance, one feature at a time, letting real use decide what comes next rather than planning it all up front.
The real point of the project is learning. It runs entirely on Cloudflare, and building it has meant getting properly acquainted with Workers, SQLite at the edge, object storage, scheduled jobs, inbound email routing, and identity-based access control — much of it new territory. A later rename from an earlier personal-dashboard version to MitchellOS meant migrating every database, storage bucket, and domain behind it, which taught more than the original build did.
The goal is a custom application with real intelligence in it — not a chatbot bolted onto a dashboard, but AI doing useful work quietly in the background: reading inbound email, surfacing what actually needs attention, and helping with planning that doesn't come naturally. Getting there first meant building something stable, secure, and backed up — a foundation worth putting intelligence on top of.
KQT Labs is led by Jeff Mitchell, a designer and builder with a career spanning marketing, communications, and technology leadership. His background includes years running digital platforms and CRM administration for a large nonprofit organization, moving from communications and design work into full IT leadership — and, more recently, into hands-on AI-assisted development.
That combination shapes how KQT Labs works: design sensibility paired with real technical depth, and a habit of building things efficiently rather than over-engineering them. The goal is straightforward — help clients navigate a genuinely new era in how software gets built, without losing control of what they own or how it works.
Tell us what you're working on. We'll tell you if we can help — no sales call required.
Thanks — we'll get back to you within a couple of days.
