SYNC
by Beacon
Build your digital twin
A decision-making game that builds a model of how you think. The more you play, the more accurately it can predict what you choose.
What is a digital twin?
It's an AI that knows how you think, built from your decisions rather than your documents. Ask it a question it's never seen before, and it answers the way you would — because it learned your judgment, not your history.
Most AI tools today are built from your data, including your documents, messages, and stated preferences. That's useful, but it's not a twin. A real digital twin needs something harder to capture: how you actually decide things when there's no obvious right answer.
That's what Sync builds.
AI can already plan your entire trip. Flights, hotels, itinerary, all of it. But if the total comes to $2,000 or $3,000, would you let it book without looking first?
Most people wouldn't. That gap between what AI can do and what you'd actually let it decide — that's what Sync is working on.
How it works
Face real dilemmas
Each round presents a scenario with no obvious right answer, the kind of decision where reasonable people genuinely disagree. Choose what you would actually do.
Train your digital twin
Every choice teaches an AI model how you think. Over time, your twin learns your values, priorities, and decision patterns, then tries to predict your next move.
See your Sync score rise
Your Sync score measures how well your twin knows you. The more you play, the more accurately it mirrors your judgment, building toward real delegation.
Two ways to play
Solo Sync
Play on your own. Face scenarios, make choices, and watch your AI twin learn your decision-making patterns over time.
Multiplayer
Play with others. Everyone faces the same dilemma, then predicts what others chose. Discover where you genuinely align and where you differ. Join a live game daily.
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“I think of myself as a pragmatist. And mostly the data agrees — I reach for compromise, staged solutions, the middle path. But in situations where real harm is on the table, where there is legal or ethical exposure, where someone actually gets hurt if I get it wrong, I flip completely. Instead of looking for the balanced option, I go straight to the most protective one, every time. The AI caught that pattern before I did, and I wouldn't have described myself that way.”