Customer Experience Agent (AI)
Configured with Agent, Email Send, Gmail, LM Chat Google Gemini, and additional nodes. Review the connections and setup before adapting this template.
Node categories in this workflow
- Trigger
- AI & models
- Messaging
- Code
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 |
|---|---|---|---|
| Strava Trigger | Trigger | Strava Trigger | See node parameters |
| Google Gemini Chat Model | AI & models | LM Chat Google Gemini | See node parameters |
| Gmail | Messaging | Gmail | See node parameters |
| Combine Everything | Code | Code | See node parameters |
| Fitness Coach | AI & models | Agent | See node parameters |
| Structure Output | Code | Code | See node parameters |
| Conver to HTML | Code | Code | See node parameters |
| Send Email | Messaging | Email Send | See node parameters |
| Code | Code | Code | See node parameters |
| WhatsApp Business Cloud | Messaging | Whats App | send |
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
gmailOAuth2googlePalmApismtpstravaOAuth2ApiwhatsAppApi
Workflow notes
Customer Experience Agent (AI)
Customer Experience Agent (AI)
The AI Triathlon Coach is an intelligent, data-driven virtual assistant designed to help triathletes optimize their training and performance across swimming, cycling, and running. Using advanced algorithms, it analyzes activity data from platforms like Strava and provides actionable insights tailored to the athlete’s goals, experience level, and specific disciplines. This is connected to Gemini 2.0 Flash
Convert to HTML
Convert to HTML
Now the data will be structured and covnerted to HTML
Get Strava Trigger
Get Strava Trigger
If you are using Strava, you can create API Key by logging in to : https://developers.strava.com/
Once data is capture you can then structure it, i am commbining all the activity data and sending to next node
Developed by Amjid Ali
Developed by Amjid Ali
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Send Personalized Response
Send Personalized Response
Activity is analized you can either get the response by Whatsapp , emal, a blog or anything
Customer Experience Agent (AI)
Customer Experience Agent (AI)
Purpose and structure
This folder contains the Customer Experience Agent (AI) workflow. Its executable nodes use agent, code, emailSend, gmail, lmChatGoogleGemini, stravaTrigger, whatsApp. 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
Strava 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/Code/0701_Code_Strava_Send_Triggered.json MIT; preserve source notices.