What I learned from rebuilding TransferIQ’s comparison UI

Today I spent most of the day cleaning up TransferIQ’s remittance and crypto comparison cards.

The biggest lesson was simple: removing information is not the same as improving the UI.

I had to separate three things clearly:

• Data source labels, such as Live Exchange Market, Provider Benchmark, and P2P Pricing

• Product-specific costs, such as Fee Range, Spot Trading Fee, Card Fee Range, and Spread Range

• The final comparison metrics: estimated receive amount, estimated total cost, and arrival time

AI made the work much faster, but it also changed logic that I only wanted visually reorganized. That caused unnecessary bugs and repeated fixes.

The real job was not coding. It was defining what each number meant, deciding what should stay visible, and preventing the AI from changing calculations, API sources, rankings, and provider logic.

The final result is much cleaner and easier to compare across remittance providers, P2P, cards, and crypto off-ramps.

My main takeaway:

AI can dramatically increase development speed, but the founder still has to control product meaning, terminology, and data trust.