Ship AI products with studio ownership
Big agencies are slow to decide, and a single freelancer can struggle with the full breadth of a product. A studio-sized team sits comfortably between the two.
We bring product thinking and engineering together, so structure, UI, APIs, and the launch checklist live in one plan.
If that sounds like your situation, Arcode is set up for 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. On AI product development projects we favour practical architecture over trendy defaults.
- 02
Design
System design, AI/tool boundaries, interface direction, and interaction prototypes. The work for teams in the USA stays tied to the outcome you asked for.
- 03
Build
Modern stack, clean architecture, evaluated AI behavior, and iterative demos you can react to. You see progress on the critical path every week.
- 04
Launch
Ship, monitor, harden, and keep improving models, tools, and product after go-live. Nothing here waits on a handover between separate teams.
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 USA
Same timezone and a face to meet, which genuinely matters for some teams. You are also paying US startups and enterprises hiring for shipping speed and applied AI. 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
Horizan Labs
Frontend · Internship
Marketing website contribution during the Arsol internship, focused on responsive UI and frontend delivery.
Early-career site work at Arsol using React, Next.js, and Tailwind to help ship the Horizan Labs web presence with the team.
- · Responsive marketing pages
- · Team-based frontend delivery
- · Modern React/Next stack
- · UI performance and accessibility focus
React · Next.js · Tailwind · MySQL
Case Management Hub
Full-stack engineer · NestJS · Next.js
HIPAA-compliant healthcare SaaS for 150+ US organizations, with dual databases, realtime collaboration, billing, and secure client portals.
Enterprise case management platform for healthcare and social-work organizations with encryption, realtime messaging, Stripe billing, Zoom, and calendar sync.
- · HIPAA-ready architecture with encryption and audit logging
- · Realtime collaboration via Socket.io + Redis
- · Client portal and role-based access control
- · Stripe billing and document workflows
Next.js · NestJS · TypeScript · MongoDB · Redis · Socket.io
Circlin Waitlist
Lead frontend · Next.js 15
Multilingual waitlist and referral product for a secondhand fashion brand, covering localization, analytics, and growth loops.
Waitlist experience with EN/DE localization, referral tiers, MDX blog, and analytics for Circlin.
- · EN/DE internationalization
- · Referral reward tiers
- · MDX blog and SEO content
- · Analytics and cookie consent
Next.js 15 · TypeScript · Tailwind · MDX · React 19
Working with teams in USA
US startups and enterprises hiring for shipping speed and applied AI. Work is remote-first (US time zones), with written updates you can read in your own time. We usually collaborate in English.
How we work with USA teams
US engagements run on partial overlap: our afternoon is your morning. That is enough for a daily sync window with East Coast teams and a scheduled call with West Coast teams, with the rest handled in writing.
What USA clients usually need
US work is mostly seed-to-Series-A products that need to ship before the next raise, plus established companies adding AI features to software that already has users.
Contracts, data, and compliance
We invoice in USD and work under US-style contractor agreements with IP assignment. For healthcare and finance we scope compliance (HIPAA, SOC 2 evidence) into the build rather than bolting it on afterwards.
