Nuclear Marmalade's product development service takes AI-powered product ideas from initial concept to production-ready launch, handling design, engineering, and deployment end to end. We build the products that founders and operators describe on napkins — turning rough ideas into working software that ships to real users, with AI capabilities integrated from the architecture level, not bolted on as an afterthought.
What does full-stack AI product development look like?
Full-stack AI product development at Nuclear Marmalade means we handle every layer of your product: frontend interfaces, backend APIs, database architecture, AI model integration, deployment infrastructure, and ongoing iteration. Most AI product consultancies deliver a prototype and a slide deck. Nuclear Marmalade delivers a production system with real users. Glen Healy, founder of Nuclear Marmalade, has shipped AI products across verticals including business directories, memory systems, autonomous agents, and data pipelines. Every engagement starts with a product definition sprint where we align on the core problem, identify the minimum viable feature set, and define what "shipped" means in concrete terms. From there, we build in rapid weekly cycles — working code reviewed every Friday, not status updates. The goal is always the same: get a functional product in front of users as fast as possible, then iterate based on real usage data.
How fast can Nuclear Marmalade ship a product?
Nuclear Marmalade has shipped production AI products in as little as 6 weeks from kickoff. The timeline depends on scope, but our process is designed for speed: we use a proven tech stack (Next.js, React, FastAPI, PostgreSQL, and Claude or Gemini for AI), pre-built infrastructure patterns, and a single decision-maker model where Glen Healy has final authority on technical tradeoffs. There are no committee reviews, no multi-week approval cycles, and no agency overhead. A typical 6-week engagement produces a deployed product with authentication, core features, AI integration, and basic analytics. Larger products with multiple AI subsystems, custom data pipelines, or complex user workflows run 8-12 weeks. We scope aggressively — cutting features that don't serve the core value proposition — because shipping a focused product fast beats shipping a bloated product slowly every time.
What does a product development engagement include?
Every product development engagement from Nuclear Marmalade includes:
- →Product definition sprint — problem alignment, feature prioritization, architecture decisions, and a concrete build plan delivered in the first week
- →Full-stack development — frontend (Next.js/React), backend (FastAPI/Node), database (PostgreSQL), and infrastructure (Vercel/Railway) built as a single integrated system
- →AI integration — LLM orchestration, embeddings, retrieval-augmented generation, agent systems, or custom AI pipelines architected into the product core
- →Weekly working demos — every Friday you see running code, not slide decks or wireframes
- →Production deployment — your product ships to a live URL with real infrastructure, not a demo environment
- →Full code ownership — you own 100% of the code, the repository, and the deployment infrastructure from day one
What kinds of AI products has Nuclear Marmalade built?
Nuclear Marmalade has built and shipped production AI products across multiple categories. Nuclear Directories is a nationwide AI-verified business directory with structured data on every listing, optimized for both Google and generative AI extraction. The Nuke platform itself is a production AI system with 43 API routers, 121 services, a dual-write semantic memory architecture, and autonomous agent orchestration — all built and maintained by Glen Healy. We have delivered client products including AI-powered lead qualification systems, automated content pipelines, conversational booking agents, and internal knowledge bases with natural language search. Every product we build includes AI at the architecture level — not a ChatGPT wrapper, but purpose-built intelligence integrated into the product's core workflows where it creates measurable business value.
Frequently Asked Questions
How fast can you ship?
A focused MVP with core features and AI integration can ship in 6 weeks. Products with multiple AI subsystems, complex data pipelines, or extensive user workflows typically run 8-12 weeks. We scope aggressively to hit these timelines — every feature earns its place or gets cut.
Do I own the code?
Yes. You own 100% of the source code, the Git repository, and all deployment infrastructure from day one. There are no licensing fees, no proprietary lock-in, and no ongoing royalties. If you want to bring development in-house after launch, you have everything you need to do so.
What tech stack do you use?
Our standard stack is Next.js and React on the frontend, FastAPI or Node.js on the backend, PostgreSQL for data, and Vercel or Railway for deployment. For AI, we integrate Claude, Gemini, or open-source models depending on the use case. We choose tools based on the problem, not trends — but we default to proven, well-supported technologies that you can hire for after handoff.
