Qualify and email literary agents with GPT‑4.1, Gmail and Google Sheets
UnknownWhat this workflow does
This AI workflow has 43 nodes and runs on a schedule (every day at 12:00) (plus 1 other trigger). Along the way it connects OpenAI Chat Model, Gmail, Google BigQuery and Azure Storage and 5 more.
How it runs
Trigger: On a schedule (every day at 12:00) (plus 1 other trigger).
- HTTP Request: calls an HTTP API
- Google BQ (Google BigQuery): uses Google BigQuery
- Msft Azure Blob (Azure Storage): get (blob)
- Amzn AWS S (AWS S3): uses AWS S3
- Goog Sheets (Google Sheets): uses Google Sheets
- Analysis Prompt (Code): runs custom JavaScript code
- Merge: merges the data from its input branches
- Merge: merges the data from its input branches
- Eligibility Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model
- Check (Google Sheets): append or update
…plus 22 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-powerbi is verified or supports 3.0 (used in PowerBi Dashboard).
Nodes used (19)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Switch
n8n-nodes-base.switch - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Code
n8n-nodes-base.code - Gmail
n8n-nodes-base.gmail - AI Agent
@n8n/n8n-nodes-langchain.agent - Google BigQuery
n8n-nodes-base.googleBigQuery - Azure Storage
n8n-nodes-base.azureStorage - AWS S3
n8n-nodes-base.awsS3 - HTTP Request
n8n-nodes-base.httpRequest - Google Sheets
n8n-nodes-base.googleSheets - Extract from File
n8n-nodes-base.extractFromFile - Merge
n8n-nodes-base.merge - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - QuickChart
n8n-nodes-base.quickChart - Google Analytics
n8n-nodes-base.googleAnalytics - Power Bi
n8n-nodes-powerbi.powerBi
From the author
Inspiration & Notes This workflow was born out of a very real problem. While writing a book, I found the process of discovering suitable literary agents and managing outreach to be manual, and surprisingly difficult to scale. Researching agents, checking…