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GenAISimulation

Baymax ER Nurse Assistant

Shows the agent trace: intake, routing, retrieval, tool calls, human handoff, and receipts.

🎬 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 WorkflowsAttention RoutingRetrievalDecision 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

Trace-backed healthcare agent
Case intake
↓
Attention router
↓
Retrieval call
↓
Tool call or human handoff
↓
Outcome receipt
✓

Routes Attention Before RetrievalA served, versioned attention signal routes patient cases before retrieval while protecting at least 95% serious-case recall.

✓

Changes Action When Evidence 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 routes 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.