From Behavioural Science
Thesis to Buyable SaaS Product
We bridge the gap between your AI thesis and a product customers can buy.
| Client | AskPhi (Predictive Human Insights Ltd) |
| Founder | Jason Nguyen, Co-Founder & CEO |
| Sector | AI-powered audience intelligence |
| Engagement | 3 months |
| Service line | AI Product Build |
| Outcome | Prototype → live SaaS product |
Key Highlights
Jason Nguyen spent 11 years as a professional poker player — making decisions with incomplete information and reading human behaviour under pressure. He formalised that intuition through behavioural science and economics, building Bloom Story, his behavioural marketing consultancy.
The thesis was sharp: most companies profile their audience by demographics. The best companies understand why people buy, leave, and never considered them in the first place. Demographic data tells you who someone is. Behavioural intelligence tells you what they'll do next.
Jason had built a working prototype using Claude Code to automate and productise that thesis — an AI-powered audience intelligence tool. The prototype proved the concept. But it had the problems all vibe-coded builds have: no production-grade architecture, brittle in edge cases, no multi-user support or proper data layer, no purchasable product structure, and not something a paying customer could use independently.
Jason needed a technical partner who could look at what he'd built, understand what it was trying to do, and make it real — without stripping out the thinking that made it interesting.
Understanding the idea before
touching the code.
Shape the vision
Ferrous came in at the point where the idea was proven but the product didn't yet exist. The first task was understanding the prototype — not just the code, but the behavioural science logic underneath it. What was Jason actually doing when he ran an audience analysis? What decisions did the tool need to support? What would make a marketer or insights lead reach for this over traditional research?
From that, we identified the core workflows that needed to be real, reliable, and sellable: Persona Generation, Virtual Focus Groups, Concept Testing, and Audience Querying. We also helped shape the two-mode product structure: a Done-For-You sprint service and a self-serve platform.
Validate with real buyers
Ferrous built around and on top of what Jason had created — preserving the behavioural logic while engineering it properly. We built a minimum viable version and tested it with Jason's existing consulting clients to validate the concept with real users and real data.
Build the minimum loveable product
Using the experimental data, we built a production-grade MLP:
Launch and grow
The MLP launched as AskPhi with a live website, demo booking, and the Done-For-You sprint already in market. Early sprints with clients including Run It Once, Teleya, and Slippery Saints validated both the product and the methodology.
What changed.
| Before Ferrous Labs | After Ferrous Labs |
|---|---|
| Claude Code prototype — unpresentable to customers | Production-grade MLP — live and bookable |
| No way to sell or scale the methodology | Two active revenue streams: sprint + self-serve platform |
| Jason required in every engagement | Platform operates independently of founder time |
| Concept with no commercial shape | Visitors can book a demo directly from the website |
I had the thesis, I had the prototype, and I had no idea how to turn it into something a customer could actually buy. Ferrous took what I'd built, understood why it worked, and made it real. Three months later we had a product.Jason Nguyen, Co-Founder & CEO, AskPhi
Still going.
AskPhi is live, taking sprint clients, and building out its self-serve platform. The behavioural intelligence that Jason spent over a decade developing is now a scalable product — not a consultancy deliverable, but a platform.
We bridge the gap.
If you've built something with Claude Code, Cursor, or Replit that proves your concept but can't face a paying customer yet — we bridge the gap. Book a discovery call and let's see what you've got.