How we build
Problems first. Tools second. Ego last.
This is how work actually happens at Flying Black Cat Studios — the habits, the boundaries, and the division of labour between people and AI.
01
Problems before products
Every product here starts with real human friction: something repetitive, confusing, expensive, or quietly annoying. We describe the problem in plain language before anyone opens a design tool.
If we can't explain who it's for and what gets better, it isn't a product yet — it's an idea we like.
02
Small teams, strong tools
Good tooling — AI included — lets a small studio explore, prototype, and ship at a scale that historically required a much larger organisation. We can test more ideas and kill the weak ones faster.
That is not an argument against people. Skilled people are exactly what makes strong tools worth having; the studio is designed to grow.
03
AI collaborators
AI may assist with
- Research
- Design exploration
- Software development
- Analysis
- Quality assurance
- Operations
- Customer support
- Documentation
Humans remain responsible for
- Company direction
- Material decisions
- Ethics
- Risk
- Accountability
AI can recommend, build, analyse, and automate. It does not get to be the one who is accountable.
04
Build, measure, learn
We ship small, watch what really happens, and adjust. Early versions are deliberately narrow: enough product to learn something true, not enough to bury the signal.
Roadmaps are a hypothesis. Usage is evidence. When the two disagree, usage wins.
05
Sustainable businesses
Our products are meant to become sustainable businesses — things people pay for because they're worth paying for — not demos, not portfolio pieces, and not experiments left running unattended.
That means honest pricing, real support, and a willingness to retire something rather than let it rot.