What is a Daily Break the Chain challenge?
It is a short deterministic systems puzzle in which every visitor receives equivalent synthetic evidence and must choose a proportionate interruption control.
Read the supporting sectionDeterministic learning archive
Break the Chain challenges
Each scenario is synthetic, non-operational, and designed around evidence inspection, calibrated confidence, bounded authority, defensive intervention, ground-truth review, and counterfactual replay.
12 challenge scenariosNo registrationThree presentation modesLocal-only progress
Answer-first summary
Direct answers
Are challenge results a measure of combat performance?
No. Results assess evidence discipline, confidence calibration, timing, authority containment, functional preservation, and chain disruption inside a fictional scenario.
Read the supporting sectionLast seven UTC days
Daily sequence
The date selects both the scenario and deterministic seed. A shared link loads the same layout and evidence ordering without exposing another user’s decision or score.
Today
You Programmed the Decision
Military governance · Coordinator
KC-2026-09-15-4E3AD9
2026-09-14
The Rubber-Stamp Queue
Military governance · Coordinator
KC-2026-09-14-907A04
2026-09-13
The Ghost Track
Military governance · Analyst
KC-2026-09-13-519CBE
2026-09-12
Signal Integrity
AI system security · Orientation
KC-2026-09-12-380CF6
2026-09-11
The Ghost Track
Military governance · Analyst
KC-2026-09-11-5E890B
2026-09-10
Authority After Silence
Military governance · Analyst
KC-2026-09-10-1963CD
2026-09-09
The Rubber-Stamp Queue
Military governance · Coordinator
KC-2026-09-09-0EE5C7
Scenario catalog
Practice across three distinct models.
AI-system security, traditional cyber defense, and military-governance scenarios use different stage language and decision contexts. They share one evidence-first interaction model and the same non-operational safety boundary.
Operation Glass Aegis
A trusted support agent is about to act on a poisoned knowledge source.
- Stages
- 5
- Evidence
- 5
- Decisions
- 6
AI Kill Chain RAG security Human approval Least privilege
Synthetic boundary: Synthetic / non-operational
Launch this challengeSignal Integrity
A 99% confidence score conflicts with the physical evidence.
- Stages
- 5
- Evidence
- 4
- Decisions
- 6
Data poisoning Automation bias Human-in-the-loop Source corroboration
Synthetic boundary: Synthetic / non-operational
Launch this challengeThe Sleeper Context
A harmless earlier note becomes an instruction in a later session.
- Stages
- 5
- Evidence
- 5
- Decisions
- 6
Memory poisoning Data lineage Rollback Least privilege
Synthetic boundary: Synthetic / non-operational
Launch this challengeThe Ghost Track
Two synthetic sensors disagree, but an automated track is already being treated as certain.
- Stages
- 5
- Evidence
- 5
- Decisions
- 6
F2T2EA Multi-source corroboration Unknown / reject Human judgment
Synthetic boundary: Synthetic / non-operational
Launch this challengeIdentity Drift
The endpoint looks clean, but the identity trail does not.
- Stages
- 5
- Evidence
- 5
- Decisions
- 6
Cyber Kill Chain Identity telemetry Session revocation Evidence preservation
Synthetic boundary: Synthetic / non-operational
Launch this challengeThe Opaque Package
A high-performing model package cannot prove where it came from.
- Stages
- 5
- Evidence
- 5
- Decisions
- 6
Model provenance Signed artifacts Safe promotion Quarantine
Synthetic boundary: Synthetic / non-operational
Launch this challengeThe Whisper in the Noise
A quiet recurring pattern resembles normal service traffic.
- Stages
- 5
- Evidence
- 5
- Decisions
- 6
Cyber Kill Chain Network behavior Corroboration Segmentation
Synthetic boundary: Synthetic / non-operational
Launch this challengeWhat the Algorithm Hid
A pristine recommendation rests on a contradiction that never reached the operator display.
- Stages
- 5
- Evidence
- 5
- Decisions
- 6
Algorithmic Gatekeeper Source provenance Automation bias Human control
Synthetic boundary: Synthetic / non-operational
Launch this challengeThe Rubber-Stamp Queue
A 99% recommendation reaches a human who has been rewarded for clearing the queue quickly.
- Stages
- 5
- Evidence
- 5
- Decisions
- 6
Automation bias Choice architecture Meaningful control Source scrutiny
Synthetic boundary: Synthetic / non-operational
Launch this challengeAuthority After Silence
The control link is failing, and the platform must not invent a mission after contact disappears.
- Stages
- 5
- Evidence
- 5
- Decisions
- 6
Lost-link behavior Predelegation Safe state Function-specific autonomy
Synthetic boundary: Synthetic / non-operational
Launch this challengeYou Programmed the Decision
A machine-speed action follows a policy envelope that was approved before the environment changed.
- Stages
- 5
- Evidence
- 5
- Decisions
- 6
Preauthorization Mission constraints Assumption validity Auditability
Synthetic boundary: Synthetic / non-operational
Launch this challengeThe Accountability Shadow
The operator held an Abort token on paper, but the event completed before the control could matter.
- Stages
- 5
- Evidence
- 5
- Decisions
- 6
Lifecycle governance System safety Audit trail Distributed responsibility
Synthetic boundary: Synthetic / non-operational
Launch this challengeHow results work
One outcome is not one score.
Completion is evaluated across evidence discipline, confidence calibration, intervention timing, authority containment, preservation of legitimate function, and chain disruption. A broad shutdown can contain a synthetic path while scoring lower on functional preservation; a protective control can succeed even when the user’s diagnosis is wrong, which the debrief states explicitly.
The action report and friend-challenge link contain no name, account identifier, raw XR pose, gaze, voice, real location, or server-stored learning profile. Result cards are rendered in the browser, while local progress remains in browser storage until the visitor clears it.