Daily meetings summarization with Gemini AI
Configured with Agent, Google Calendar Tool, LM Chat Google Gemini, Schedule Trigger, and additional nodes. Review the connections and setup before adapting this template.
Node categories in this workflow
- Messaging
- Integration
- AI & models
- Trigger
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 |
|---|---|---|---|
| Send response back to slack channel | Messaging | Slack | See node parameters |
| Google Calendar - Get Events | Integration | Google Calendar Tool | getAll |
| Calendar AI Agent | AI & models | Agent | See node parameters |
| Schedule Trigger | Trigger | Schedule Trigger | See node parameters |
| Google Gemini Chat Model | AI & models | LM Chat Google Gemini | 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
googleCalendarOAuth2ApigooglePalmApislackApi
Workflow notes
Trigger the task daily, receive the meetings data, process the data and return response for sending
Trigger the task daily, receive the meetings data, process the data and return response for sending
No memory assigned to the model since the model is running one task and doesn't need a followup, then send the data to the user.
Daily meetings summarization with Gemini AI
Daily meetings summarization with Gemini AI
Purpose and structure
This folder contains the Daily meetings summarization with Gemini AI workflow. Its executable nodes use agent, googleCalendarTool, lmChatGoogleGemini, scheduleTrigger, slack. 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
Schedule Trigger
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/Schedule/1406_Schedule_Slack_Automation_Scheduled.json MIT; preserve source notices.
Canvas section labels
These name areas of the original canvas; they do not include explanatory instructions.
- Gemini Flash model a base
- Send the response from AI back to slack channel
- Access Google Calendar and fetch all the data