Entry signals
2 nodes
Events, schedules, and unconnected roots that can start an execution.
Schedule Trigger
Trigger
Schedule Trigger1
Trigger
AI-Enhanced Jira Ticket Management is a 28-node automation blueprint connecting OpenAI, Supabase, Jira Software Cloud. 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.
28
Nodes
29
Edges
6
Zones
System stack
3 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.
2 nodes
Events, schedules, and unconnected roots that can start an execution.
Schedule Trigger
Trigger
Schedule Trigger1
Trigger
15 nodes
Transformations and external-system actions that move the work forward.
Check User Workflow
Integration
For Each User
Integration
Assign User to Ticket
Integration
Remove Duplicates
Integration
Collect Fields
Transform
Get Unassigned Tickets more than 5 days
Integration
11 nodes
Model calls and control points that interpret, branch, or govern the run.
Embeddings OpenAI
AI reasoning
Default Data Loader
AI reasoning
Recursive Character Text Splitter
AI reasoning
Issues Similarity Database
AI reasoning
Supabase Vector Store
AI reasoning
Embeddings OpenAI1
AI reasoning
0 nodes
Nodes with no visible outgoing edge: the workflow’s observable outcomes.
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.
ETL Pipeline
Automate ai-driven data processing workflow with OpenAI, PostgreSQL, Supabase, HTTP API
ETL Pipeline
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Event-Driven Automation
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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.