This project started with a simple frustration: booking flights is still more stressful than it needs to be. Even with Google Flights, users end up repeatedly checking prices, drowning in options, and bouncing to a separate site just to finish booking. That gap sparked a core question — what if Google Flights could act less like a search tool and more like a proactive travel agent?

The biggest insight from our research wasn’t that search needed to be smarter. It was that users needed less effort and less uncertainty. Price anxiety, decision fatigue, and that nagging feeling you missed a better deal — these were the real problems. So the team designed around three ideas: natural language search, background flight monitoring, and a seamless checkout experience built into Google’s ecosystem.

The hardest part wasn’t imagining the product — it was scoping it. A full AI travel assistant is easy to dream up but hard to ship. We had to define an MVP that felt both realistic and genuinely useful. Trust was another design challenge: if AI is watching routes and making recommendations on your behalf, the interface has to feel transparent, not creepy. In the end, the project reinforced that great AI products aren’t just about adding intelligence — they’re about using it to reduce friction and give users peace of mind.

Built With

  • ai-studio
  • figma
  • google-stitch
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