Podcast Digest
Configured with Agent, Chain LLM, Chain Summarization, Document Json Input Loader, and additional nodes. Review the connections and setup before adapting this template.
Node categories in this workflow
- Trigger
- Code
- Files / media
- Transform
- AI & models
- Integration
- Messaging
Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.
Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.
How it works
The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.
| Node | Category | Type | Operation |
|---|---|---|---|
| When clicking "Execute Workflow" | Trigger | Manual Trigger | See node parameters |
| Podcast Episode Transcript | Code | Code | See node parameters |
| Workflow Input to JSON Document | Files / media | Document Json Input Loader | See node parameters |
| Recursive Character Text Splitter | Transform | Text Splitter Recursive Character Text Splitter | See node parameters |
| Topics | Transform | Item Lists | See node parameters |
| Summarize Transcript | AI & models | Chain Summarization | See node parameters |
| GPT 4 - Extract | AI & models | OpenAI Chat Model | See node parameters |
| Wikipedia1 | Integration | Tool Wikipedia | See node parameters |
| Send Digest | Messaging | Gmail | See node parameters |
| Format topic text & title | Code | Code | See node parameters |
| Structured Output Parser | Transform | Output Parser Structured | See node parameters |
| Extract Topics & Questions | AI & models | Chain LLM | See node parameters |
| GPT3.5 - Research | AI & models | OpenAI Chat Model | See node parameters |
| GPT3.5 - Summarize | AI & models | OpenAI Chat Model | See node parameters |
| Research & Explain Topics | AI & models | Agent | See node parameters |
Setup
- Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
- Connect your own credentials through n8n’s credential store. Replace
REPLACE_WITH_*values with your resource identifiers. - Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
- Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.
Requirements
An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.
Credential types declared in the source
gmailOAuth2openAiApi
Workflow notes
Podcast Digest
Podcast Digest
Purpose and structure
This folder contains the Podcast Digest workflow. Its executable nodes use agent, chainLlm, chainSummarization, code, documentJsonInputLoader, gmail, itemLists, lmChatOpenAi, manualTrigger, outputParserStructured, textSplitterRecursiveCharacterTextSplitter, toolWikipedia. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.
Setup
Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.
Entry points
When clicking "Execute Workflow"
Verification
Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.
Attribution
https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Code/1286_Code_Manual_Automation_Triggered.json MIT; preserve source notices.
Canvas section labels
These name areas of the original canvas; they do not include explanatory instructions.
- Chunk the transcript into several parts, and refine-summarize it
- Generate Questions and Topics from the summary and make sure the response follows required schema.
- Ask Agent to research and explain each topic using Wikipedia
- Format as HTML and send via Gmail