AI Agent Plan Stress-Tester & Cascade Simulator

Monte Carlo Reliability Engine for Compound AI Agent Pipelines
1. Preset & Parameters Preset Loaded
Workflow Node Editor
2. Agent Plan Execution DAG & Failure Heatmap ● Engine Ready
Running baseline simulation on preset... 500 Runs
Step-By-Step Execution Trace Inspector
[INIT] Loaded 6-step financial agent workflow graph...
[SIM] Ready to execute 500 Monte Carlo runs.
3. Reliability Telemetry & Bottlenecks D3 + Chart.js
Unmitigated Success Rate
38.2%
Mitigated Success Rate
91.4%
Mean Steps to Cascade
3.4
Optimal Checkpoint Step
Step 3
Primary Bottleneck Identified
Step 4: SQL Query Output Parsing vs Context Memory Drift

Telemetry Verification Proof

• Unmitigated Rate: 38.2%
• Mitigated Rate: 91.4%
• Mean Cascade Step: 3.4
• Primary Bottleneck: Step 4: SQL Query Output Parsing vs Context Memory Drift
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