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AI-Driven Expense Tracker with Google Sheets

AI-Driven Expense Tracker with Google Sheets is a 9-node automation blueprint connecting OpenAI, Google Sheets. Inspect its trigger, execution graph, branches, and implementation requirements.

Interactive system map

Follow the runtime. Inspect what supports it.

Solid horizontal paths show main-channel execution. Violet dependencies sit beneath the exact step they configure or empower.

9

Nodes

7

Links

2

Run groups

Connected tools

2 integrations

  • OpenAI
  • Google Sheets

Canvas controls

Fit wide systems, then zoom into any run group.

AI-Driven Expense Tracker with Google Sheets execution lanes2 run groups containing 9 workflow nodes and 7 visible links. Solid horizontal lines are main-channel runtime links. Violet dashed lines connect typed dependencies beneath the runtime step they support. Focus any node to inspect its immediate path.When chat message received. trigger node, chatTrigger. 0 incoming and 1 outgoing connections.STARTWhen chat message receivedTRIGGERCHATTRIGGER0 IN / 1 OUTAI Agent. ai node, agent. 4 incoming and 0 outgoing connections.OUTCOMEAI AgentAIAGENT4 IN / 0 OUTOpenAI Chat Model. OpenAI node, lmChatOpenAi. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1OpenAI Chat ModelOPENAILMCHATOPENAI0 IN / 1 OUTWindow Buffer Memory. ai node, memoryBufferWindow. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Window Buffer MemoryAIMEMORYBUFFERWINDOW0 IN / 1 OUTParse msg and save to Sheets. ai node, toolWorkflow. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Parse msg and save to She…AITOOLWORKFLOW0 IN / 1 OUTWorkflow Input Trigger. trigger node, executeWorkflowTrigger. 0 incoming and 1 outgoing connections.STARTWorkflow Input TriggerTRIGGEREXECUTEWORKFLOWTRIGGER0 IN / 1 OUTExpense text to JSON parser. ai node, informationExtractor. 2 incoming and 1 outgoing connections.STEP 02Expense text to JSON parserAIINFORMATIONEXTRACTOR2 IN / 1 OUTSave expense into Google Sheets. Google Sheets node, googleSheets. 1 incoming and 0 outgoing connections.OUTCOMESave expense into Google …GOOGLE SHEETSGOOGLESHEETS1 IN / 0 OUTOpenAI Chat Model1. OpenAI node, lmChatOpenAi. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1OpenAI Chat Model1OPENAILMCHATOPENAI0 IN / 1 OUT

Signal inspector

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Main-channel runtimeTyped dependencytriggeraidecisiontransformintegration
Scroll horizontally to follow every connected flow.9 connected nodesEnter or click to lock · Escape to clear

Runtime breakdown

Read the execution spine before its dependencies.

Each run group separates main-channel steps from the models, tools, retrievers, and data services that support them. Start and outcome labels apply only to runtime nodes.

01

Run Group

When chat message received

1 Execution Link3 Support Dependencies
  1. Start

    When chat message received

    Trigger

  2. Outcome

    AI Agent

    AI reasoning

Attached dependencies

These nodes support the runtime above; they are not additional starts or outcomes.

3 nodes
  • OpenAI Chat Model

    AI reasoning dependency

  • Window Buffer Memory

    AI reasoning dependency

  • Parse msg and save to Sheets

    AI reasoning dependency

02

Run Group

Workflow Input Trigger

2 Execution Links1 Support Dependency
  1. Start

    Workflow Input Trigger

    Trigger

  2. Step 2

    Expense text to JSON parser

    AI reasoning

  3. Outcome

    Save expense into Google Sheets

    Integration

Attached dependencies

These nodes support the runtime above; they are not additional starts or outcomes.

1 node
  • OpenAI Chat Model1

    AI reasoning dependency

Turn the map into a plan

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