Entry signals
1 node
Events, schedules, and unconnected roots that can start an execution.
When chat message received
Trigger
AI-Enhanced Data Processing and Q&A Workflow is a 16-node automation blueprint connecting OpenAI, Google Drive, 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.
16
Nodes
12
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.
When chat message received
Trigger
2 nodes
Transformations and external-system actions that move the work forward.
Google Drive
Integration
Placeholder (File/Content to Upsert)
Transform
11 nodes
Model calls and control points that interpret, branch, or govern the run.
Default Data Loader
AI reasoning
Question and Answer Chain
AI reasoning
OpenAI Chat Model
AI reasoning
Vector Store Retriever
AI reasoning
Recursive Character Text Splitter1
AI reasoning
Retrieve by Query
AI reasoning
2 nodes
Nodes with no visible outgoing edge: the workflow’s observable outcomes.
Customize Response
Transform
Retrieve Rows from Table
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.
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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.