Problem Mind Map — Credit Decision
A problem mind map for an AI credit decision, mapping decisions, data, policies, actors, risks, constraints and open questions before any component is designed.
Agent-Generated Mind Map — Incident Root Cause
An AGMM example: an SRE agent outputs its API latency root-cause reasoning chain as an interactive mind map, reversing the Human-to-Machine explainability flow.
Full FlowZap Code
Copy and paste the following FlowZap code into a project in your FlowZap account to see this template diagram.
mindmap { # Mindmap
n1: circle label:"SRE Agent: API Latency Surge"
n2: rectangle label:"Detection"
n3: rectangle label:"Diagnosis"
n4: rectangle label:"Mitigation"
n5: rectangle label:"Scaling"
n6: rectangle label:"Observability"
n7: rectangle label:"Communication"
n8: rectangle label:"Alert Rules"
n9: rectangle label:"Anomaly Detection"
n10: rectangle label:"Service Dependency"
n11: rectangle label:"Log Analysis"
n12: rectangle label:"Circuit Breaker"
n13: rectangle label:"Throttling"
n1.handle(top) -> n2.handle(bottom)
n1.handle(right) -> n3.handle(left)
n1.handle(bottom) -> n4.handle(top)
n1.handle(left) -> n5.handle(right)
n2.handle(right) -> n8.handle(left)
n3.handle(top) -> n10.handle(bottom)
n3.handle(top) -> n11.handle(bottom)
n4.handle(right) -> n12.handle(bottom)
n1.handle(top) -> n8.handle(bottom)
n2.handle(top) -> n10.handle(top)
n3.handle(left) -> n1.handle(right)
n3.handle(bottom) -> n12.handle(top)
n3.handle(right) -> n13.handle(left)
n13.handle(bottom) -> n4.handle(right)
n6.handle(right) -> n1.handle(left)
n7.handle(top) -> n1.handle(bottom)
n11.handle(left) -> n2.handle(bottom)
n9.handle(top) -> n2.handle(left)
}
Install the MCP packagenpm install -g flowzap-mcpMCP documentation
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