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.
Design and engineering share one backlog, so the visuals never drift away from what can realistically ship on time.
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. 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 teams in Los Angeles 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.
A local agency in Los Angeles
Same timezone and a face to meet, which genuinely matters for some teams. You are also paying LA brands needing polished product UX and solid engineering. 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
StudioX Localization
Frontend · i18n
UI polish and language translation pages for the StudioX product experience.
Contract contribution implementing UI fixes and localization pages with Next.js, React, and Tailwind to improve accessibility and multi-language use.
- · Language translation pages
- · UI accessibility fixes
- · Next.js page delivery
- · Clearer multi-language UX
Next.js · React · Tailwind
React Email Templates
Email systems · Resend
Reusable React Email templates sent through Resend for production transactional mail.
Freelance email kit using React Email, Resend, TypeScript, and Tailwind to create and send branded emails from a React app.
- · Reusable email templates
- · Resend delivery integration
- · TypeScript-safe composition
- · Tailwind-styled layouts
React Email · Resend · TypeScript · Tailwind
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
Working with teams in Los Angeles
LA brands needing polished product UX and solid engineering. We work with clients in Los Angeles remotely and keep overlapping hours in PST/PDT. We usually collaborate in English.
How we work with Los Angeles teams
Los Angeles is twelve to thirteen hours behind us, so the overlap sits at the edges: your morning is our evening. We run that as one scheduled call, with written updates waiting when you start your day.
What Los Angeles clients usually need
LA briefs are heavily brand and media led — sites and apps where design quality is the deciding factor, marketplaces, and increasingly AI tooling for content-heavy workflows.
Contracts, data, and compliance
We invoice in USD under US contractor agreements with IP assignment. CCPA and CPRA obligations get scoped in, particularly around deletion requests and what gets shared with ad platforms.
