Meet Mr. Tony
What if your money knew you?
MEET MR. TONY
Who he is
Tony is in his early 40s. He runs a small construction business in Accra, employing a handful of workers on project-based contracts. He is the financial backbone of his household — wife, children, and extended family obligations. His income is real but irregular, tied to project cycles. When work is good, money comes in. When projects end, the gap until the next one requires careful management.
He has a smartphone. He uses WhatsApp constantly, both personally and for his business. He pays bills on his phone. He has a mobile money account. He is not technophobic; he is technology-curious but technology-frustrated. The gap between what he sees technology doing in the world and what it actually does for him personally is a source of genuine tension.
His financial reality
Tony’s money sits in two places: his mobile money account and his bank account. Neither one is working for him. The mobile money earns nothing. The bank account earns almost nothing in real terms after inflation. He knows this. It bothers him.
He has heard about crypto. He has seen people talk about it. He believes there is something real there, but has never been able to find a starting point that didn’t feel like a trap or require knowledge he doesn’t have. He has tried several times to figure it out, and both times stopped because the process felt designed to confuse him.
He worries, not loudly but consistently, about what happens to his family if he has a bad year. There is no safety net beyond what he builds himself. No pension. No institutional support. Just the money he manages and the decisions he makes.
His relationship with money
Disciplined but unoptimized. He earns, he saves, he spends carefully. But his savings are not growing. His capital is not working. He is doing everything right within the system available to him and still falling behind inflation quietly, every single month.
He is not looking for a get-rich scheme. He has seen those. He doesn’t trust them. He is looking for something honest, something that compounds quietly over time, something he can trust with a portion of what he has worked hard to build.
What do you think Mr. Tony needs?
For the past couple of months, I have been thinking...
What would it actually take to redesign finance so that it stops being something people use and starts becoming something that simply works?
Not in the superficial sense of better apps, cleaner interfaces, or faster transactions, those are incremental improvements on a fundamentally unchanged model. I’m thinking about something deeper. A shift where finance becomes adaptive enough to serve humans autonomously. Where the system itself carries the cognitive load, instead of continuously pushing it back onto the individual.
Because if you look closely at Tony’s reality, the issue isn’t effort. It isn’t discipline. It isn’t even access. It’s that every financial outcome he experiences is directly proportional to how much time, attention, and expertise he can personally allocate to managing his money. And that is an inherently flawed constraint.
Tony is not a portfolio manager, neither is he a risk analyst nor a yield strategist. Yet the current design of financial systems implicitly demands that he becomes all three if he wants to preserve and grow his capital in real terms.
That expectation does not scale.
So the question becomes: what if we remove it entirely?
What if, instead of building tools that require Tony to learn finance, we build systems that learn Tony?
Systems that understand that his income is cyclical, not fixed. Systems that recognize that liquidity matters more to him at certain points in time than returns. Systems that can distinguish between money that must remain safe and money that can be put to work. Systems that don’t ask him what to do every step of the way, but instead operate within clearly defined boundaries aligned with his life.
This is where the idea of “money that knows you” begins.
It’s not about prediction in a speculative sense. It’s about context. Continuous, evolving context. Knowing when capital should be idle, when it should be deployed, and when it should be protected, without requiring explicit instruction every single time. Knowing that a lump sum from a completed project is not the same as a steady monthly income, and therefore should not be treated the same way. Knowing that upcoming obligations change the risk tolerance of capital in the present moment.
And more importantly, acting on that knowledge. After all, intelligence without execution is just insight. And insight alone does not compound.
This is where the convergence begins to matter. Traditional financial systems bring stability and familiarity, the rails that people like Tony already trust and rely on. Onchain finance and systems introduce programmability and access to global yield in ways that were previously impossible. And agentic systems introduce the missing layer: the ability for software to interpret intent, make decisions, and execute actions in a continuous loop.
Individually, each of these domains has limitations. Together, they start to form something that looks less like a product and more like an autonomous financial layer.
A layer where Tony does not wake up thinking about where to move his money, whether he is exposed to inflation, or if he is missing out on yield opportunities. Not because those concerns disappear, but because they are being handled — quietly, consistently, and in alignment with his reality.
Control today is manual. It requires intervention, attention, and repeated decision-making. But a more advanced form of control is constraint-based. Tony defines what matters, safety thresholds, liquidity needs, long-term goals — and the system operates within those parameters, continuously optimizing without needing to ask for permission at every step.
That is a fundamentally different user experience. One where the interface fades, and the outcome becomes the product.
And if this is done correctly, something subtle but powerful happens. Finance stops feeling like a separate activity that Tony has to engage with, and starts behaving like an embedded layer of his life. His money begins to move in rhythm with his reality, instead of sitting disconnected from it.
The implication here is significant. Because once money becomes adaptive, once it becomes capable of understanding and acting in context, the baseline expectation for financial systems shifts entirely. The standard becomes outcomes, stability, growth, and resilience delivered without requiring users to become experts.
And that is the rethinking.
Not how to make finance more accessible, but how to make it more intelligent. Not how to give Tony more options, but how to ensure the right things happen with his capital, regardless of whether he is actively paying attention.
Because Tony doesn’t need another app.
He needs a system that works as hard as he does.
This is a design space I would love to spend the next couple of years exploring and building in. It’s truly fascinating to apply thinking systems to finance, optimized and calibrated to people’s intentions.