A DECISION
HAS TO BE
MADE.

// DECISION WINDOW

72:00:00

AI FOR
BETTER
DECISIONS.

// CHALLENGE 001

You have 72 hours.

What decision
will you improve?

// DECISION WINDOW

OCT 02 TO 04, 2026

// LOCATION

CAMBRIDGE / MA

// STATUS

OPEN

// MISSION TYPE

72-HOUR INTERDISCIPLINARY AI HACKATHON

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

PEOPLE, TOOLS, AND
PERSPECTIVE IN THE ROOM.

// INTELLIGENCE

APIFY

Real-world data · Builder technology · Credits · Technical support · Prizes

// STRATEGY

COLLECTIVE NEXT

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

// FIELD OPERATIONS

MINDFUL MAKERS

Builder community · Hands-on hack experience · Experimentation · Collaboration · Making

// THE MISSION

AI has dramatically lowered the barrier to building.

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?

01BETTER CONTEXT02BETTER INFORMATION03BETTER FRAMING04CLEARER TRADE-OFFS05RIGHT HUMAN / AI BOUNDARY06MEASURABLE OUTCOMES

// WHO SHOULD MAKE THE CALL?

DESIGN THE
BOUNDARY.

// HUMAN + AI / AUGMENT

  • complex information
  • uncertainty
  • high accountability
  • multiple trade-offs
  • context matters

There is no universal answer. Designing the boundary is part of the challenge.

// MISSION FILE // ILLUSTRATIVE EXAMPLE

EMERGENCY
FLOOD RESPONSE

DECISION

Where should limited emergency resources go first?

SIGNALS

Weather · Road closures · Hospital capacity · Population density · Social reports · Local observations

AI

Aggregates signals · Models scenarios · Surfaces uncertainty · Compares allocations

HUMAN

Understands local context · Weighs ethical trade-offs · Chooses priorities · Owns accountability

OUTCOME

Faster, more informed resource allocation.

THAT IS WHAT WE MEAN BY A DECISION SYSTEM.

// THE DECISION ROOM

DON’T READ ABOUT
A DECISION SYSTEM.
ENTER ONE.

Seven positions. One accountable path.

BRIEF01SIGNALS

// 01 / SIGNALS

INFORMATION IS NOT UNDERSTANDING.

Maps. Public data. Sensors. Markets. Weather. Research. Health data. Observations. Forecasts. Uncertainty.

ApifyINTELLIGENCE / SIGNAL INFRASTRUCTURE
Real-world information and builder technology.
BRIEF02CONTEXT

// 02 / CONTEXT

THE DATA DOESN’T KNOW EVERYTHING.

Context lives in experience, values, incentives, local knowledge, and the things a dataset may never capture.

What aren’t we seeing?
BRIEF03SENSEMAKING

// 03 / SENSEMAKING

BEFORE YOU DECIDE, YOU HAVE TO UNDERSTAND.

Frame the decision. Challenge assumptions. Find the relationships that actually matter.

Collective NextSTRATEGY / DECISION DESIGN
Frame complexity. Challenge assumptions. Find what matters.
BRIEF04OPTIONS

// 04 / OPTIONS

THERE IS RARELY ONE ANSWER.

Three paths emerge. Each carries a different mix of confidence, risk, cost, uncertainty, and predicted outcome.

BRIEF05TRADE-OFFS

// 05 / TRADE-OFFS

EVERY DECISION GIVES SOMETHING UP.

Explore the tension between speed and accuracy, automation and agency, efficiency and resilience.

BRIEF06DECISION

// 06 / DECISION

MAKE THE CALL.

Commitment is the point where many signals become one accountable path forward.

BRIEF07OUTCOME

// 07 / OUTCOME

WAS IT ACTUALLY BETTER?

Measure. Learn. Iterate. Show what improved, what failed, what remains uncertain, and what happens next.

// MISSION BRIEFING COMPLETE

NOW
BUILD
ONE.

AI FOR BETTER DECISIONS. // CHALLENGE 001

OCT 02 TO 04, 2026 / CAMBRIDGE

ACCEPT THE MISSION →

// THE EXPERIENCE

THIS IS A
HACKATHON.

One weekend. Interdisciplinary teams solve real decisions with AI.

01 / FRIDAY

UNDERSTAND.

Partner briefings · Real decision problems · Team formation · Frame the decision · Learn tools · Technical workshops

02 / SATURDAY

BUILD.

Prototype · Test · Break assumptions · Work with mentors · Iterate

03 / SUNDAY

PROVE.

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 stack06Prizes

AND IT DOESN’T HAVE TO END SUNDAY.

Selected projects may continue through an industry pilot, research collaboration, startup, internship, future Challenge, or recruiting conversation.

// OPEN MISSIONS

CHOOSE THE KIND OF
DECISION YOU WANT TO IMPROVE.

02

CRITICAL DECISIONS

What happens when the stakes are high?

EXPLORE →
03

OPERATIONS

How do we allocate limited resources?

EXPLORE →
04

INTELLIGENT SYSTEMS

What happens when systems can act?

EXPLORE →

// THE DECISION SUMMIT

THE PEOPLE BUILDING AI
SHOULD TALK TO THE PEOPLE
LIVING WITH IT.

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

ONE WEEKEND DOESN’T
ANSWER THE QUESTION.

CHALLENGE 001FINDINGSCHALLENGE 002FINDINGSCHALLENGE 003

Every Challenge contributes to an evolving body of knowledge about humans, AI, and decisions.

// YOUR ROLE

WHAT ROLE
WILL YOU
PLAY?

// OPEN A CHANNEL

START A CONVERSATION.