// INTELLIGENCE
APIFY
Real-world data · Builder technology · Credits · Technical support · Prizes
// DECISION WINDOW
72:00:00
// CHALLENGE 001
// MISSION TYPE
Engineers, MBAs, researchers, designers, operators, and founders work with real industry problems to build AI systems that measurably improve decisions.
YOU DO NOT NEED TO BE A COMPUTER SCIENTIST TO BUILD.// YOUR SUPPORT TEAM
// INTELLIGENCE
Real-world data · Builder technology · Credits · Technical support · Prizes

// STRATEGY
Decision design · Sensemaking · Problem framing · Human collaboration · Mentorship

// FIELD OPERATIONS
Builder community · Hands-on hack experience · Experimentation · Collaboration · Making
// THE MISSION
The harder question is what deserves to be built.
Some decisions should be automated. Some require human judgment. Some become better when humans and AI reason together. The challenge is knowing which is which, and designing accordingly.
HOW CAN AI HELP HUMANS MAKE BETTER DECISIONS?
// WHO SHOULD MAKE THE CALL?
// HUMAN + AI / AUGMENT
There is no universal answer. Designing the boundary is part of the challenge.
// MISSION FILE // ILLUSTRATIVE EXAMPLE
Weather · Road closures · Hospital capacity · Population density · Social reports · Local observations
Aggregates signals · Models scenarios · Surfaces uncertainty · Compares allocations
Understands local context · Weighs ethical trade-offs · Chooses priorities · Owns accountability
THAT IS WHAT WE MEAN BY A DECISION SYSTEM.
// THE DECISION ROOM
Seven positions. One accountable path.
// 01 / SIGNALS
Maps. Public data. Sensors. Markets. Weather. Research. Health data. Observations. Forecasts. Uncertainty.
// 02 / CONTEXT
Context lives in experience, values, incentives, local knowledge, and the things a dataset may never capture.
What aren’t we seeing?// 03 / SENSEMAKING
Frame the decision. Challenge assumptions. Find the relationships that actually matter.
STRATEGY / DECISION DESIGN// 04 / OPTIONS
Three paths emerge. Each carries a different mix of confidence, risk, cost, uncertainty, and predicted outcome.
// 05 / TRADE-OFFS
Explore the tension between speed and accuracy, automation and agency, efficiency and resilience.
// 06 / DECISION
Commitment is the point where many signals become one accountable path forward.
// 07 / OUTCOME
Measure. Learn. Iterate. Show what improved, what failed, what remains uncertain, and what happens next.
// MISSION BRIEFING COMPLETE
AI FOR BETTER DECISIONS. // CHALLENGE 001
OCT 02 TO 04, 2026 / CAMBRIDGE
ACCEPT THE MISSION →// THE EXPERIENCE
One weekend. Interdisciplinary teams solve real decisions with AI.
Partner briefings · Real decision problems · Team formation · Frame the decision · Learn tools · Technical workshops
Prototype · Test · Break assumptions · Work with mentors · Iterate
What improved? · What failed? · What did you learn? · What evidence supports your claim? · What happens next?
// YOU LEAVE SUNDAY WITH
01A working Decision System02A portfolio project you can explain03Relationships outside your discipline04Direct exposure to industry05New AI/data tools in your stack06PrizesSelected projects may continue through an industry pilot, research collaboration, startup, internship, future Challenge, or recruiting conversation.
// OPEN MISSIONS
// THE DECISION SUMMIT
Researchers, builders, operators, founders, and industry leaders examine how decisions change when AI enters the system.
Not another conversation about what AI might become. A conversation about what decisions change because it exists.
// THE MOVEMENT
Every Challenge contributes to an evolving body of knowledge about humans, AI, and decisions.
// YOUR ROLE