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.
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. The work for teams in Singapore 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 Singapore
Same timezone and a face to meet, which genuinely matters for some teams. You are also paying Singapore market for SaaS, fintech, and AI 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
Agile IT Blog
Frontend · Astro
Performance-minded blog maintained in Astro with Markdown, Tailwind, and modular content integrations.
Stellar Stack content site where I improved performance and scalability across modular Astro components and data integrations.
- · Astro static content pipeline
- · Markdown-driven posts
- · Modular component structure
- · Performance and scalability pass
Astro · Markdown · Tailwind · SCSS
Brain Blog
Frontend · Gatsby · Strapi
Custom Gatsby blog with Strapi CMS, built for fast content publishing and a clean reading experience.
Freelance content product pairing Gatsby performance with Tailwind styling and a Strapi-powered editorial workflow.
- · Gatsby static generation
- · Strapi blog integration
- · Tailwind-driven layout
- · Fast content browsing
Gatsby · Tailwind · Strapi
Dumbiez
Frontend · NFT product
NFT comics platform for exploring and interacting with digital comic collectibles.
Independent Next.js product for browsing and engaging with NFT comics, styled with Tailwind and shipped on Vercel.
- · NFT comics browsing
- · Interactive collectible UX
- · Responsive Next.js UI
- · Vercel deployment
Next.js · React · Tailwind · Vercel
Working with teams in Singapore
Singapore market for SaaS, fintech, and AI engineering. We work with clients in Singapore remotely and keep overlapping hours in SGT. We usually collaborate in English.
How we work with Singapore teams
Singapore is SGT, three hours ahead of us, so mornings overlap fully. Decisions raised at the start of your day are usually resolved before it ends.
What Singapore clients usually need
Singapore work concentrates in fintech, logistics, and regional SaaS, frequently products that need to serve several Southeast Asian markets from one codebase.
Contracts, data, and compliance
We invoice in SGD or USD. PDPA obligations and multi-market requirements, including currency, language, and payment methods per country, get scoped in the architecture rather than patched in later.
