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ExpertPremiumAI AgentsWebhook trigger23 nodes

Automate an AI agent task with Google Sheets, Slack and PostgreSQL

Fires the moment a webhook arrives across Google Sheets, Slack and PostgreSQL, looks the answer up in a vector store, then hands the decision to an AI agent. Built for task automation, around a "Normalize Request Payload" step, in 23 documented nodes.

Automate an AI agent task with Discord in real time. An original, ready-to-import n8n workflow built around the 'AI Agent' pattern for AI & automation. It fires on a webhook and orchestrates 23 nodes across Google Sheets, Slack, HTTP / REST API. It uses n8n's LangChain AI nodes (Agent/Chain + chat model). Retry-on-fail is enabled on external calls. Import the JSON, add your credentials, and adapt the parameters. Nothing slips through the cracks.

Key benefits

  • Keeps Google Sheets and Slack in step for task automation, without anyone re-typing a row
  • A failed Google Sheets or Slack call is retried rather than dropped, at any of the 23 nodes in this task-automation build
  • Every task-automation run leaves an audit row behind, alongside Google Sheets
  • The task-automation AI step is isolated from Google Sheets, so models swap without touching the other 23 nodes
  • Fans the same result out to PostgreSQL in the same run, for task automation

Use cases

  • Teams keeping Google Sheets and Slack aligned by hand for task automation
  • Answering task-automation questions from your own indexed documents, then replying in Google Sheets
  • Task automation work that needs a judgement call per item before it reaches Google Sheets
  • Pushing task-automation events into Google Sheets and Slack the moment they land, not on the next poll

Integrations

Google SheetsSlackHTTP / REST APIPostgreSQLDiscordGoogle Gemini

Workflow preview (23 nodes)

The template's actual node layout and connections. Node parameters and credential slots unlock with the download.

Receive Inbound WebhookWebhookNormalize Request Paylo…CodeAnswer from Knowledge B…AgentGoogle Gemini Chat ModelLm Chat Google GeminiKnowledge Base RetrieverVector Store PGVectorQuery EmbeddingsEmbeddings Google GeminiRerank Retrieved ChunksReranker CohereGrounded Answer Found?IfReturn Answer (HTTP 200)Respond To WebhookLog Knowledge GapGoogle SheetsFlag Gap to KB OwnersSlackSerialize Run Output (C…Convert To FileArchive Row SnapshotGoogle SheetsStamp Completion TimeDate TimePersist Run MetadataExecution DataEnrich with Reference D…Http RequestFold In Enrichment Fiel…SetSummarize Run StatsSetAppend Audit Row (Googl…Google SheetsSend Summary to DiscordDiscordCapture Failure ContextSetEscalate Failure to Sla…SlackPark in Dead-Letter Que…Google Sheets

What's inside (23 nodes)

A look at the node types this workflow uses. No purchase required — full parameters and credentials are yours after you buy.

AgentCodeConvert To FileDate TimeDiscordEmbeddings Google GeminiExecution DataGoogle SheetsHttp RequestIfLm Chat Google GeminiReranker CohereRespond To WebhookSetSlackVector Store PGVectorWebhook

Agent tools included (1)

An AI Agent is only as capable as the tools wired into it. These are read from the template's own graph — every one is a real node in the file you download.

  • Knowledge Base Retriever · Vector Store PGVector

This agent runs without conversation memory - each run starts from the incoming request.

From download to running in 3 steps

  1. 1
    Import. In n8n, open Workflows → menu → “Import from File” and pick the downloaded JSON.
  2. 2
    Connect. Add your own credentials on the app nodes - n8n highlights exactly which ones need them.
  3. 3
    Activate. Run it once to test, then toggle Active. The automation is live.

What you'll learn

Production level

Production-grade: idempotency, dead-letter handling, and reconciliation included.

  • Moving data between Google Sheets, Slack and Discord in a single run
  • Normalising timestamps before anything downstream compares them
  • Adding retries and an explicit error path to external calls

Every node carries its own documentation on the canvas, plus notes explaining why the architecture was built this way, a credential setup guide, troubleshooting, and three practice exercises. Sample data comes pinned to the trigger, so you can hit Execute and watch data flow before connecting a single account.

Common questions

What exactly do I get?

The complete, ready-to-import n8n workflow as a JSON file, delivered instantly after payment. Import it into your own n8n (cloud or self-hosted), add your credentials, and it runs.

How do I import it into n8n?

In n8n, open Workflows, click the three-dot menu, choose “Import from File”, and select the downloaded JSON. Then connect your own app credentials on the highlighted nodes.

Do I need anything else for it to work?

You need your own n8n instance and accounts/credentials for the apps this workflow connects to (Google Sheets, Slack, HTTP / REST API, PostgreSQL, …). No coding is required.

What if it doesn't work for me?

If the file is faulty, won't import, or isn't as described, contact us within 7 days and we'll fix it or refund you - see our refund policy.

Can I modify or resell it?

You can freely adapt and use it in your own or your clients' projects. Reselling or redistributing the template file itself is not permitted.

Original n8n workflow template created and owned by WorkflowCrate. After purchase you receive the ready-to-import JSON file and a license to use and adapt it in your own projects.