Most products hide their mistakes. I'm designing a screen that shows them. Right now I'm working ...Most products hide their mistakes. I'm designing a screen that shows them. Right now I'm working ...
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Most products hide their mistakes. I'm designing a screen that shows them. Right now I'm working on Bonaca — a revenue copilot for boat charter fleets, currently in design. It reads bookings, seasonality and competitor prices, then tells the operator when to hold their price and when to drop it. But no tool is right every time. Sometimes Bonaca will say "keep your price" — and the boat still ends up empty that week. The operator just lost money because they listened. Most products would stay quiet about that and hope you forget. My first instinct was the same: show the good results, hide the bad ones. Then I realized — the operator doesn't need a report to know they lost money. They already know. What they don't know is whether the tool will be honest about it. So at the end of the season, Bonaca shows them everything: → Where its advice made them money. → Where its advice cost them money — and exactly how much. → No excuses. It sounds risky. Why would a product point out its own failures? Because that's how trust works. Nobody trusts something that claims to be perfect. People trust what's honest with them — especially about the bad news. A tool that hides its mistakes gets used once. A tool that admits them gets used again. And that's exactly the kind of problem I want more of — AI products where someone has to trust an expensive decision. If you're building one, my inbox is open. Full case study on my portfolio; https://bozenabulat.com/projects/bonaca-revenue-copilot-for-charter-fleets

bozenabulat.com

Bonaca — A Revenue Copilot for Charter Fleets

Bonaca is a revenue-decision copilot for professional yacht charter fleets. It reads bookings, seasonality and competitor pricing, and tells an operator when to hold a price and when to let it go, with the reasoning shown. The operator decides. Bonaca just makes the call legible. The design problem underneath: how do you build a tool for someone who is already panicking?

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