⌬ FIELD LABS
PUBLIC LAB BENCH
SOURCE + EVIDENCE ↗
OFF THE MAP // ENGINEERING UNDER CONTROLLED CONDITIONS

Build it. Break it.
Prove what changed.

Interactive demonstrations of real engineering failure modes, rebuilt from scratch with synthetic data. The controls below are simulations of the repository's tested invariants, not production systems.

Choose a failure boundary.

LAB 01● COMPLETE

Transaction Reliability

Race duplicate work, then enforce the invariant that only one state change wins.

OPEN EXPERIMENT →
LAB 02● ACTIVE

AI Workflow Boundaries

Keep hard constraints and catalog facts deterministic around flexible ranking.

OPEN EXPERIMENT →
LAB 03○ QUEUED

Email Delivery & Verification

Trace the gap between “generated,” “accepted,” and actually delivered.

EXPERIMENT NOT YET BUILT

The duplicate transaction

TESTS + FINDINGS ↗

Two synthetic workers receive the same request. Compare the unsafe check-then-write race with an idempotent boundary.

WORKER AREADY
STATE
BOUNDARY
WORKER BREADY
OBSERVATIONSelect a mode and run the synthetic race.

No result is shown until you run the demonstration.

Keep AI inside the rails

SOURCE + TESTS ↗

Hard eligibility happens before the flexible step. Authoritative facts are checked again afterward. Try to inject an ineligible item and watch the boundary reject it.

SYNTHETIC
CATALOG
→
DETERMINISTIC
FILTER
→
FLEXIBLE
RANKING
→
FACT
VALIDATION
BOUNDARY TRACEWaiting for input.

The demo uses only the synthetic catalog embedded in this page.

If it hasn't been measured, it isn't presented as a result.

This interface visualizes the repository's engineering ideas. Automated tests in GitHub remain the evidence for implemented behavior.