Block 1 - When chat message received
- Type / Role
- @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
Multi Agent Book Creation Workflow with AI Tool Node and GPT 4, DALL E [. ✅ This workflow acts as a free, plug-and-play template to showcase how multi-agents + AI Tool Node can work together to automate complex content creation pipelines.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 25 workflow blocks. Download the JSON for the full node graph.
| Workflow | Create AI-generated books with GPT-4.1-mini, DALL-E, Google Drive and AWS S3 |
|---|---|
| Complexity | advanced |
| Nodes | 25 |
| Categories | Content Creation, Multimodal AI |
| Author | Trung Tran |
| Published | 17 Aug 2025 |
Use the JSON export at /data/workflows/7482/7482.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Multi Agent Book Creation Workflow with AI Tool Node and GPT 4, DALL E [![Watch the video](https://wisestackai.s3.ap southeast 1.amazonaws.com/multi agent book creation workflow with ai tool node a...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.