Arch Convert went from problem statement to working prototype in one night. That is not typical for every project, but it is representative of the pace when the problem is well-scoped. For most problems, a clickable demo on a real URL takes 1 to 3 days. A production-ready build takes 2 to 6 weeks depending on scope.
Build & Ship · FluxCo Technologies
Build and ship at AI speed.
Apps, websites, and AI tools. We co-prototype with your users from the first session. A working demo in days. Production in weeks. No decks, no guessing.
What's included
From the first session to a production deployment, here is what we deliver.
- Co-prototyping session with actual end users: a working demo on a real URL, built against your problem
- Iteration cycles based on user feedback until the core workflow is validated
- Production build: authentication, data persistence, performance, hosting, and monitoring
- AI feature integration where relevant: LLMs, voice, document parsing, classification, automation
- Source code, deployment configuration, and handover documentation you own outright
- Optional post-launch iteration: light retainer for the first 30 to 60 days after go-live
Who it's for
Founders who need proof before committing budget. A working prototype in 3 days is more persuasive than a pitch deck, and it surfaces real problems with the idea before you have spent real money on them. If you are raising or pitching internally, a live demo beats slides every time.
Operations managers with a workflow that costs hours each week and a clear mental model of what the right tool would do. You know the problem. You have probably sketched the solution on a whiteboard. You need someone who can build it fast enough to test it while the problem is still fresh.
Businesses that have outgrown spreadsheets or manual processes and need a real product, not a SaaS subscription that sort-of fits. We build to your workflow, not the other way around.
Timeline and investment
Prototypes are scoped to move fast. Production builds are scoped to last.
How we do it
We do not start with a spec document. We start with a problem, then build toward the solution iteratively with the people who will actually use it.
Problem first, spec second. One session with real end users. We ask what the workflow looks like today, where it breaks down, and what a better version would save them. The spec emerges from that conversation, not from a document we wrote beforehand.
Working demo on a real URL. AI-assisted development means the time we do not spend on boilerplate goes into building the actual product. We get something in front of users fast, against real data where possible, so the feedback is real.
Tight feedback loops. You test, we iterate. No sprint planning ceremonies, no two-week waits for a demo. When something does not work, we adjust the same day. The feedback loop being short is the whole point.
Production from the start. The codebase that validates the idea is the codebase that goes to production. No throwaway prototypes rebuilt from scratch. We write for performance, security, and maintainability from session one.
From the work
Two products we built from a problem statement to production.
Arch Convert
Built with architects at ZGF and Ryder Architecture in a single night. Two weeks of iteration and it was in daily use across both firms. The prototype session identified that existing converters all missed the details architects actually care about: drawing scales, fractional inches, site area units.
In daily use at ZGF Architects and Ryder Architecture, Vancouver. Visit convert.fluxcotech.comPass the Report
A two-sided marketplace for resold building inspection reports in New Zealand. Buyers access existing reports at a discount. Inspectors earn passive revenue on resales. Full product build: listings, payments, user accounts, and a matching engine connecting buyers to relevant reports.
Buyers save 30–40%. In user testing across Auckland. Visit passthereport.co.nzFAQ
The people who will actually use the tool. Not just the decision-maker. End users in the room means the prototype reflects real workflows, not a manager's assumption of them. Bring a problem statement, not a spec document. We will work out the spec together in the session.
We can, and most clients find a light retainer useful for the first 30 to 60 days after launch. After that, you own the codebase and can run it yourself, hand it to your internal team, or continue with us. No forced lock-in. You get the source code at handover regardless.
AI-assisted development compresses the boilerplate. Time we do not spend writing repetitive code goes into understanding what to build and iterating with users. The feedback loop shortens from weeks to hours. The bottleneck becomes decision-making, not development capacity.
That is a good outcome. Finding a flaw at prototype stage costs days, not months. We have had sessions where the original idea shifted entirely based on what real users said when they clicked through something. Pivoting early is cheap. Pivoting after a full build is not.
Have a problem worth building?
Tell us what you're trying to solve. We'll tell you how fast we can show you something working.
Book a call