Ship AI products with studio ownership
Slides do not launch products. Design, engineering, and launch need to sit with the same team on the same schedule.
Projects run on milestones rather than an open-ended discovery phase. Every phase ends with something you can click, test, or release.
We work best with founders searching for an AI product studio who want a partner that ships. 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. Nothing here waits on a handover between separate teams.
- 02
Design
System design, AI/tool boundaries, interface direction, and interaction prototypes. On AI product development projects we favour practical architecture over trendy defaults.
- 03
Build
Modern stack, clean architecture, evaluated AI behavior, and iterative demos you can react to. The work for remote and worldwide teams stays tied to the outcome you asked for.
- 04
Launch
Ship, monitor, harden, and keep improving models, tools, and product after go-live. You see progress on the critical path every week.
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.
An in-house hire
A permanent engineer is the right call once the AI product development is continuous rather than a project. Before that point you are paying a salary, recruiting for months, and carrying the risk that the first hire is the wrong shape for the problem.
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
Medusa Ecommerce Store
Frontend · Medusa.js
Grocery ecommerce storefront on Medusa.js with Next.js, TypeScript, and API-driven catalog flows.
Stellar Stack ecommerce build focused on shopping UX and integrations across Medusa services and a Next.js storefront.
- · Medusa-powered catalog and checkout
- · TypeScript Next.js storefront
- · API and service integrations
- · Performance-minded product UX
Medusa.js · Next.js · TypeScript · React · Tailwind
Better Health Solutions
Frontend · CMS
Clinic website for Dr. Khayami with patient resources, scheduling UX, and educational video.
Responsive chiropractic practice site built at Code Band with Next.js, Redux Toolkit, Video.js, and Strapi content management.
- · Responsive clinic experience
- · Appointment-oriented UX
- · Patient education video
- · CMS-managed content
Next.js · Tailwind · Redux Toolkit · Strapi · Video.js
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
Where we work
Fully remote engagements across time zones. We work remote-first, so the time zone matters less than keeping updates clear and regular. We usually collaborate in English.
How we work with Remote worldwide teams
Remote-first engagements run on written updates, a shared backlog, and a weekly demo call. We keep at least four hours of overlap with whichever time zone you work in, and everything else happens asynchronously so nobody waits on a meeting to unblock work.
What Remote worldwide clients usually need
Most remote briefs arrive as a rough product idea with a deadline attached. The first job is separating the slice that has to ship from the rest of the roadmap.
Contracts, data, and compliance
Contracts are milestone-based, invoiced against agreed deliverables. Code lives in your repository from the first commit, so there is no handover cliff if you take the work in-house later.
