Timeline
4 – 16 weeks
Location
Wollongong, AU
Overview
I design and build complete AI-powered web applications from architecture to deployment. These are not chatbot widgets added to existing sites. They are purpose-built products where AI is a core feature: intelligent search, automated workflows, natural language interfaces, document processing, and AI-driven personalisation. Built on Next.js, Node.js, PostgreSQL, and frontier AI APIs.
An AI-powered product is still a product: it needs solid authentication, a fast interface, sensible data models, and infrastructure that does not fall over plus the AI layer on top. Because I build full-stack with Next.js, Node.js, and TypeScript and integrate AI models daily, you get one developer responsible for the whole thing, instead of a web team and an AI team negotiating across a gap.
The AI layer gets the same engineering discipline as the rest of the stack: streaming responses so users are not staring at spinners, structured outputs so the UI never breaks on a malformed response, cost tracking per user and per feature, and graceful fallbacks when a model provider has an outage. The goal is a product that feels reliable, not a demo that impresses once.
What's Included
- Full-stack Next.js application with AI features
- Backend API with LLM integration
- User authentication and role-based access
- Database schema and ORM setup
- AI feature: chatbot, search, summarisation, generation
- Admin dashboard and usage analytics
- Stripe billing integration (for SaaS products)
- Production deployment with CI/CD pipeline
Key Features
Full-Stack Architecture
Next.js App Router frontend, Node.js API, PostgreSQL database, and AI API layer designed as a cohesive system, not stitched-together parts.
AI as a Core Feature
AI is integrated at the architecture level not a floating chatbot widget. Intelligent search, auto-classification, content generation, or natural language queries built into the product.
Auth & Multi-Tenancy
Secure authentication (JWT, OAuth), user roles, and multi-tenant data isolation for SaaS products that serve multiple clients.
SaaS Billing Ready
Stripe subscriptions, usage-based billing, and free trial flows ready to monetise your AI product from day one.
Analytics & Monitoring
Usage dashboards, AI cost tracking, error monitoring, and user analytics give you full visibility into how your product is performing.
Production Deployment
CI/CD pipelines, environment separation, database migrations, and hosting setup so your product ships and stays running.
How I Work
- 1
Product scoping
We define the core user problem, the role AI plays in solving it, and the smallest version of the product that proves the idea with real users.
- 2
Architecture design
Full-stack plan covering the web app, data models, AI provider strategy, and how costs scale with usage agreed before code is written.
- 3
MVP build
The complete application built with Next.js and TypeScript: auth, database, payments if needed, and the AI features wired in with streaming and structured outputs.
- 4
Quality & cost tuning
Prompt iteration against real usage, response-quality evaluation, latency optimisation, and per-feature cost monitoring before public launch.
- 5
Launch & evolve
Production deployment with analytics, then iterative improvements driven by how users actually engage with the AI features.
Ways to Work Together
MVP Build
Your AI product idea taken from concept to a launched, working application with a defined feature set and timeline.
Best for: Founders validating an AI product idea with real users.
Ongoing Development
Continuous feature development, model upgrades, and scaling work after launch, with reserved monthly capacity.
Best for: Launched products growing their user base and feature set.
AI Feature Sprint
A focused engagement adding one well-defined AI capability to your existing application, end to end.
Best for: Existing products adding their first AI feature.
Serving Wollongong & All of Australia
I build AI products for clients across Australia from my base in Wollongong, NSW. Australian founders get a developer in their own time zone for daily communication, and applications are deployed to Australian or regional cloud infrastructure when latency or data residency matters to your users.
Frequently Asked Questions
Further Reading
Related Services
Ready to get started?
Tell me about your project and I will get back to you within 24 hours with a plan and quote.