Entry signals
1 node
Events, schedules, and unconnected roots that can start an execution.
When clicking ‘Test workflow’
Trigger
GitHub Prompt Loader & AI Expression Populator is a 13-node automation blueprint connecting GitHub, Langchain AI. Inspect its trigger, execution graph, branches, and implementation requirements.
Live system map / verified archive
Brand marks identify the operational stack. Focus or select any node to isolate its real incoming and outgoing connections.
13
Nodes
12
Edges
6
Zones
System stack
2 integrations
Signal inspector
Focus, hover, or select a node to illuminate its real path.
Structured review
The archived graph is grouped into operational zones, then checked against the controls needed to adapt the pattern safely. Every count below is derived from the normalized record.
1 node
Events, schedules, and unconnected roots that can start an execution.
When clicking ‘Test workflow’
Trigger
7 nodes
Transformations and external-system actions that move the work forward.
GitHub
Integration
Extract from File
Integration
setVars
Transform
replace variables
Transform
Check All Prompt Vars Present
Transform
SetPrompt
Transform
3 nodes
Model calls and control points that interpret, branch, or govern the run.
If
Decision
AI Agent
AI reasoning
Ollama Chat Model
AI reasoning
2 nodes
Nodes with no visible outgoing edge: the workflow’s observable outcomes.
Stop and Error
Integration
Prompt Output
Transform
Provenance boundary
This page publishes structural metadata extracted from a local workflow archive. Parameters, credential references, code bodies, and downloadable JSON are excluded. The route can enter indexing only after a graph match and quality gate; source licensing remains a separate promotion gate.
Adjacent systems
Related records are ranked by shared integrations and graph quality.
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Turn the map into a plan
Bring the system shape into a workspace, then define the production controls, data boundaries, owners, and delivery sequence around your context.