Ship AI products with studio ownership
Plenty of agencies are built around long retainers. What you actually want is a live site, an app in the stores, and users adopting it.
Projects run on milestones rather than an open-ended discovery phase. Every phase ends with something you can click, test, or release.
Most people who reach this page are founders searching for an AI product studio. Arcode is an AI product studio covering agents, MCP, RAG, and full-stack delivery for teams that need working software.
What you get
- AI-native product builds
- MCP and agent systems
- Web and mobile surfaces
- Launch-ready architecture
- One studio accountable for the result
- Design and engineering on the same schedule
- Support available after launch
How engagement works
As your AI product studio, we run a shared backlog, design reviews, and engineering sprints, and you keep one point of contact throughout.
- 01
Discover
Goals, constraints, data sources, and success metrics, all settled before we touch architecture or prompts. The work for teams in Seattle stays tied to the outcome you asked for.
- 02
Design
System design, AI/tool boundaries, interface direction, and interaction prototypes. You see progress on the critical path every week.
- 03
Build
Modern stack, clean architecture, evaluated AI behavior, and iterative demos you can react to. Nothing here waits on a handover between separate teams.
- 04
Launch
Ship, monitor, harden, and keep improving models, tools, and product after go-live. On AI product development projects we favour practical architecture over trendy defaults.
How we build it, and why
The stack is chosen per project, not applied from a template. For AI product studio work these are the defaults, and the reason each one is on the list.
- OpenAI
- a second model provider, so a single vendor's outage or price change is not your problem
- Claude
- long-context reasoning and reliable tool calling for agent work
- MCP
- the Model Context Protocol, so your tools plug into Claude, Cursor, and other agent clients without a custom adapter for each
- Next.js
- server rendering and static generation in one framework, so marketing pages stay fast and app routes stay dynamic
- NestJS
- structure and dependency injection on the backend, which keeps a growing API from turning into a pile of route handlers
- React Native
- one codebase for iOS and Android, which halves the surface area you maintain after launch
What the first weeks look like
- Week 1
Scope and architecture
Users, data, integrations, and constraints, ending in a written plan for the AI product development that you approve before anyone opens an editor.
- Weeks 2-3
Design the critical path
The screens that carry the product, prototyped and clickable. Design and engineering review together, so nothing gets drawn that cannot ship.
- Weeks 4-8
Build in weekly slices
Every week ends with something on a real URL. ai-native product builds lands early, because the rest of the plan depends on it working.
- Launch
Ship, measure, hand over
Release, monitoring, analytics, and a documented handover, so your team can carry it without calling us.
Weighing up your options
There are three realistic ways to get this built. Each is the right answer for someone.
A solo freelancer
Cheapest per hour and fine for a contained task. The risk on AI product development is breadth — one person covering design, backend, infrastructure, and launch usually means one of them is weak, and there is no cover when they are unavailable.
A local agency in Seattle
Same timezone and a face to meet, which genuinely matters for some teams. You are also paying Seattle teams valuing cloud-native systems and AI engineers. rates for the whole team including the layers that never touch your AI product development, and a local shortlist is a small shortlist.
Arcode
A small senior team. The people who scope the AI product development write the code, you get weekly demos instead of status decks, and the engagement ends when the thing is live and handed over.
Work we have shipped
Happy Kids Dental
Frontend · CMS
Pediatric dental site with services, patient resources, and appointment-focused UX.
Code Band clinic product using Next.js, Tailwind, Redux Toolkit, Video.js, and Strapi for content and scheduling flows.
- · Pediatric service pages
- · Patient resource content
- · Appointment scheduling UX
- · Strapi-managed content
Next.js · Tailwind · Redux Toolkit · Strapi · Video.js
Vigorant
Frontend · Accessibility
Accessible web app with reusable components, Redux Toolkit state, and Strapi integration.
Code Band product built with React, Next.js, Tailwind, and Redux Toolkit, focused on accessibility and maintainable UI patterns.
- · Accessibility-first UI
- · Reusable component system
- · Efficient Redux Toolkit logic
- · Strapi-backed content
Next.js · React · Tailwind · Redux Toolkit · Strapi
Quickee UI Library
Design system · Tailwind
Tailwind component library for React and Next.js with reusable UI patterns inspired by Tailwind UI.
Code Band component kit providing a variety of production-ready Tailwind components with Redux-friendly patterns for React and Next.js apps.
- · Reusable Tailwind components
- · React and Next.js ready
- · Consistent interaction patterns
- · Faster UI assembly across projects
React · Next.js · Tailwind · Redux
Working with teams in Seattle
Seattle teams valuing cloud-native systems and AI engineers. We work with clients in Seattle remotely and keep overlapping hours in PST/PDT. We usually collaborate in English.
How we work with Seattle teams
Seattle is twelve to thirteen hours behind us, so the overlap sits at the ends of the day: your morning, our evening. We keep one fixed call and run the rest asynchronously.
What Seattle clients usually need
Seattle work is cloud-native by default and often technically demanding — data platforms, AI infrastructure, and engineering teams who want a partner able to read their existing codebase rather than start from scratch.
Contracts, data, and compliance
Expect architecture to be reviewed properly before the build starts. We invoice in USD under US contractor agreements with IP assignment, and default to AWS or Azure where your team already has the operational muscle.
