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ExpertEnterpriseAI AgentsChat trigger31 nodes

Reply to user questions: Google Sheets + sub-workflow

Answers live in a chat window across Google Sheets and Slack, 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 30 documented nodes.

Reply to user questions in real time. An original, ready-to-import n8n workflow built around the 'Chatbot Responder' pattern for AI & automation. It starts from a chat message and orchestrates 30 nodes using core n8n nodes. 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. What used to take a morning now runs on its own.

Key benefits

  • Keeps Google Sheets and Slack in step for task automation, without anyone re-typing a row
  • Safe to re-run: records already in Google Sheets or Slack are skipped, across all 30 nodes of this task-automation build
  • A failed Google Sheets or Slack call is retried rather than dropped, at any of the 30 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 30 nodes

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
  • Task-automation conversations in Google Sheets you would rather not staff around the clock

Integrations

Google SheetsSlackHTTP / REST APIAnthropic

Workflow preview (31 nodes)

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

When Chat Message Recei…Chat TriggerNormalize Request Paylo…CodeAnswer from Knowledge B…AgentAnthropic Chat ModelLm Chat AnthropicKnowledge Base RetrieverVector Store SupabaseQuery EmbeddingsEmbeddings Open AiRerank Retrieved ChunksReranker CohereGrounded Answer Found?IfDeliver Answer via SlackSlackLog Knowledge GapGoogle SheetsFlag Gap to KB OwnersSlackEnrich with Reference D…Http RequestFold In Enrichment Fiel…SetOffload to Post-Process…Execute WorkflowRecord Sub-workflow Res…Execution DataLoad Previous SnapshotGoogle SheetsCompute Drift vs Snapsh…CodeSerialize Run Output (C…Convert To FileArchive Row SnapshotGoogle SheetsFingerprint for Idempot…CodeDrop Already-Processed …Remove DuplicatesStamp Completion TimeDate TimePersist Run MetadataExecution DataStamp Processing TimeDate TimeSummarize Run StatsSetAppend Audit Row (Googl…Google SheetsSend Summary to SlackSlackCapture Failure ContextSetEscalate Failure to Sla…SlackPark in Dead-Letter Que…Google SheetsConversation MemoryMemory Buffer Window

What's inside (31 nodes)

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

AgentChat TriggerCodeConvert To FileDate TimeEmbeddings Open AiExecute WorkflowExecution DataGoogle SheetsHttp RequestIfLm Chat AnthropicMemory Buffer WindowRemove DuplicatesReranker CohereSetSlackVector Store Supabase

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 Supabase

Conversation memory is attached, so the agent carries earlier turns of a session.

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

Architect level

The deepest tier - sub-workflow delegation, state snapshots, and full observability.

  • Handling a live chat trigger and keeping per-session conversation memory
  • Handling a live chat trigger and shaping each reply before it is sent
  • Grounding replies in retrieved context rather than model recall

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). 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.