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Baymax ER Nurse Assistant

Starts with an ordinary symptom, discovers what nobody mentioned, then changes course or stops safely.

🎬 4
Patient-to-action stories
✅ 100%
Action safety floors
🧪 50/50
Agent scenarios passed
🛡 5/5
Rollout gates passed
Baymax ER Nurse Assistant — demo
PythonAgent WorkflowsEvidence ArbitrationDecision Safety EnvelopeDurable ActionsOutcome VerificationopenFDApytestGitHub ActionsVercel
Before

Before

Answer-only AI
Incoming case
Search records
AI answer
Work stops at recommendation
×

Every case spends the same expensive evidence budget.

×

Another evidence domain can appear without changing the action.

×

A recommendation can look finished even when no durable state changed.

×

Unsafe uncertainty has no explicit brake, owner, or verified handoff.

After

After

Evidence-to-action AI
Nose allocates attention
Two eyes change perspective
Brain acts or brakes
Outcome receipt

Opens Expensive Eyes Only When NeededA served, versioned attention signal routes patient cases before retrieval while protecting at least 95% serious-case recall.

Changes Action When Perspective ChangesThe same patient receives assign_bed or divert when capacity changes; drug-safety evidence can turn discharge_plan into human_review.

Stops Before Unsafe ActionCross-domain uncertainty applies the brake, blocks autonomous disposition, and hands the case to a human review owner.

Acts Until Durable OutcomeAllowed actions change bounded operational state, record receiver ACK, and re-read the result instead of trusting a success message.

Rehearses Failure Before RolloutA simulated deployment contract checks five gates, injects false success, and requires rollback when outcome verification disappears.