Entry signals
1 node
Events, schedules, and unconnected roots that can start an execution.
Scenario 2 Start - Webhook
Trigger
AI-Driven Data Processing Workflow is a 9-node automation blueprint connecting OpenAI, PostgreSQL, Supabase. Inspect its trigger, execution graph, branches, and implementation requirements.
System map / archived topology
Archived canvas positions are normalized into readable zones. Every visible connector still represents an edge from the source graph.
9
Nodes
7
Edges
5
Zones
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.
Scenario 2 Start - Webhook
Trigger
5 nodes
Transformations and external-system actions that move the work forward.
Insert Transcription Part
Integration
Create Note
Integration
Create Recall bot
Integration
Create OpenAI thread
Integration
Scenario 1 Start - Edit Fields
Transform
2 nodes
Model calls and control points that interpret, branch, or govern the run.
OpenAI1
AI reasoning
If Jimmy word
Decision
1 node
Nodes with no visible outgoing edge: the workflow’s observable outcomes.
Create data record
Integration
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.
Event-Driven Automation
Automate chat-driven a/b test workflow with OpenAI, Supabase, PostgreSQL
Event-Driven Automation
Automate ai-powered data processing workflow with OpenAI, PostgreSQL, Supabase, Recall bot API
Event-Driven Automation
Automate ai chatbot with database memory with OpenAI, PostgreSQL, MySQL
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.