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Supabase Postgres AI Integration

Supabase Postgres AI Integration is a 6-node automation blueprint connecting Google Gemini AI, Supabase, PostgreSQL. Inspect its trigger, execution graph, branches, and implementation requirements.

Google Gemini AISupabasePostgreSQL

Live system map / verified archive

The entire automation, wired and inspectable.

Brand marks identify the operational stack. Focus or select any node to isolate its real incoming and outgoing connections.

6

Nodes

5

Edges

5

Zones

System stack

3 integrations

  • Google AI
  • Supabase
  • PostgreSQL
Supabase Postgres AI Integration interactive execution graphStructural view of 6 workflow nodes and 5 visible connections. Focus any node to inspect its connected path. Parameters and credentials are intentionally excluded.When clicking ‘Test workflow’. trigger node, manualTrigger. 0 incoming and 1 outgoing connections.When clicking ‘Test workf…TRIGGERMANUALTRIGGER0 IN / 1 OUTSet sample Input Variables. transform node, set. 1 incoming and 1 outgoing connections.Set sample Input VariablesTRANSFORMSET1 IN / 1 OUTSample Agent . ai node, agent. 3 incoming and 1 outgoing connections.Sample Agent AIAGENT3 IN / 1 OUTGeminiFlash2.0. Google AI node, lmChatGoogleGemini. 0 incoming and 1 outgoing connections.GeminiFlash2.0GOOGLE AILMCHATGOOGLEGEMINI0 IN / 1 OUTSupabase Postgres Database. PostgreSQL node, memoryPostgresChat. 0 incoming and 1 outgoing connections.Supabase Postgres DatabasePOSTGRESQLMEMORYPOSTGRESCHAT0 IN / 1 OUTUpdate additonal Values e.g. Name, Address .... integration node, supabase. 1 incoming and 0 outgoing connections.Update additonal Values e…INTEGRATIONSUPABASE1 IN / 0 OUT

Signal inspector

Focus, hover, or select a node to illuminate its real path.

triggeraidecisiontransformintegration
Scroll horizontally to inspect every zone.verified structural metadata · graph 04129bb694389fe6Enter or click to lock · Escape to clear

Structured review

Read the workflow as a system, not a node dump.

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.

01

Entry signals

1 node

Events, schedules, and unconnected roots that can start an execution.

When clicking ‘Test workflow’

Trigger

02

Data & operations

1 node

Transformations and external-system actions that move the work forward.

Set sample Input Variables

Transform

03

Intelligence & routing

3 nodes

Model calls and control points that interpret, branch, or govern the run.

GeminiFlash2.0

AI reasoning

Supabase Postgres Database

AI reasoning

Sample Agent

AI reasoning

04

Terminal actions

1 node

Nodes with no visible outgoing edge: the workflow’s observable outcomes.

Update additonal Values e.g. Name, Address ...

Integration

Provenance boundary

Inspectable does not mean redistributable.

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.

Graph match
exact
Quality score
14 / 14
Raw download
Held
Crawler state
Follow

Adjacent systems

Keep tracing the stack.

Related records are ranked by shared integrations and graph quality.

Turn the map into a plan

Adapt this blueprint to your company.

Bring the system shape into a workspace, then define the production controls, data boundaries, owners, and delivery sequence around your context.

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